The Hidden Economics of a $100 Return
In this article
19 minutes
- Why Per-Return Math Lies
- The Real Cost Stack: What Actually Happens to That $100
- The $59.99 Apparel Item: Three Scenarios
- The Myth vs. Reality of a $100 Return
- Capital Timing Distortion: The Problem Nobody Talks About
- Compounding at Scale: The Architecture of Margin Erosion
- What Accurate Return Cost Accounting Actually Requires
- Frequently Asked Questions
The cost of returns is one of the most systematically underestimated figures in ecommerce finance. Most retailers quote a per-return processing fee and move on, but that number is not a cost. It is a floor. What actually happens when a customer sends something back is a cascading sequence of cost exposures that compound across shipping, labor, inventory timing, markdown pressure, fraud leakage, and lost acquisition spend. A $100 return is not a line item. It is a multi-stage margin compression event, and most operators are only counting the first stage.
A major driver behind the increase in returns is the rise of online shopping, which has changed consumer behavior and led to higher return rates, a trend explored in depth in analyses of the rise of e-commerce return rates.
This article is not about blaming returns. It is about accurately reading what they cost, because the gap between perceived cost and actual cost is where margin quietly disappears. According to the National Retail Federation, returns in 2024 are expected to amount to 17% of all merchandise sales, totaling $890 billion in returned goods.
The holiday season is a peak period for returns, amplifying cost challenges for retailers.
Why Per-Return Math Lies
Ask most operations teams what a return costs, and they will give you a number: average shipping, average labor, maybe a restocking note. That figure is usually somewhere between $10 and $20, which feels manageable relative to a $60 or $100 sale.
The problem is not that the number is wrong. It is that averages are the wrong tool for measuring this kind of loss.
The returns process is a complex workflow that companies must manage and optimize, involving logistics, warehousing, labor, and cost reduction. Returns do not behave like a steady expense. They behave more like tail risk. A small percentage of returns — items that cannot be resold, items that arrive damaged, items that were fraudulently initiated — carry dramatically higher cost than the average. When you average those outcomes with a large volume of low-friction cases, the catastrophic ones disappear into the math, and the true impact of ecommerce return rate on profit margins is obscured.
The other failure of average-based cost tracking is that it treats a return as a single event with a single cost. A return is not a single event. It is a sequence of exposures that begins the moment the original order was placed, continues through the return shipping leg, warehouse processing, and inventory holding period, and does not fully resolve until the item is either restocked, discounted into resale, or written off. At each stage, value erodes. The average cost metric captures almost none of that erosion accurately.
What per-return averages actually measure is the most visible costs — usually the inbound label. What they miss is the structural loss: the outbound freight already spent, the capital tied up in limbo inventory, the markdown required to move a product that missed its selling window, and the customer acquisition cost that evaporated with the refund.
Many retailers and companies are shifting their approach to the returns process, including charging fees to offset rising costs. Many retailers are now charging returned item fees to cover the costs of processing returns, and retailers point to rising shipping and processing costs as a reason for charging return fees.
Retailers that manage returns by average cost are, in effect, making strategic decisions based on incomplete data. The result is a chronic underestimation of true return exposure — and a persistent inability to explain why gross margin keeps disappointing.
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See How It WorksThe Real Cost Stack: What Actually Happens to That $100
When a return is initiated, cost does not start at the inbound label. It started when the order shipped. Understanding the full cost of returns means accounting for every layer in the sequence.
The returns experience directly affects both customers and consumers, influencing their satisfaction, loyalty, and future purchasing decisions. Retailers who optimize their returns process can improve customer satisfaction and encourage repeat business by building an exceptional returns program that drives loyalty.
Beyond financial costs, returns have a significant environmental impact. In 2023, returns created 8.4 billion pounds of landfill waste, underscoring the environmental cost of managing returns and helping explain why many retailers are questioning whether free returns are sustainable or coming to an end. Retailers are increasingly focusing on sustainable practices and implementing sustainability initiatives to reduce the carbon footprint associated with returns, including programs that support eco-friendly returns in eCommerce.
Outbound Freight: Already Gone
The original shipment cost is spent and unrecoverable. When a return is initiated, that outbound shipping label does not disappear from the cost ledger — it simply shifts from “cost of fulfillment” to “cost of a transaction that generated no net revenue.” For most ecommerce operations, outbound freight runs $7 to $9 per leg. On a returned order, that spend is a pure loss.
Reverse Shipping: The Second Leg
Inbound return labels add another $7 to $9. Combined with the original outbound leg, you are already looking at $14 to $18 in two-way freight before a single person has touched the item in the warehouse. This dual freight exposure is one of the most consistently undercounted costs in returns analysis, because most teams only track the return label they issue — not the outbound label they already paid.
Intake Labor: The Hidden Labor Cost
Once the item arrives at a distribution center, the clock starts on warehouse labor. Intake requires receiving, inspection, condition grading, SKU verification, repackaging or rebagging, and system updates. Across multiple industry analyses, this labor runs $10 to $15 per unit when fully loaded — meaning after accounting for benefits, overhead, and supervisor time, whether the brand is handling returns in-house or using third-party solutions like Happy Returns reverse logistics.
That labor cost assumes the item is in acceptable condition. Items that require additional processing, partial repair, or disposition routing cost meaningfully more. The $10 to $15 range is the floor, not the ceiling.
Inspection, Sorting, and Repackaging
Separate from basic intake, inspection involves a human judgment call on every item: is this resellable at full price, resellable at a discount, or unsellable? Verifying that returned items are in perfect condition is crucial to maximize resale value and prevent unnecessary refunds. High-quality product visuals and detailed product information can also reduce returns caused by unmet expectations. Repackaging — replacing polybags, applying new stickers, re-boxing — adds materials cost on top of labor. For apparel, this might be minor. For boxed goods or electronics, it is materially more expensive.
Restocking Delay and Markdown Risk
Time is the silent cost multiplier in returns. A returned item that takes two to three weeks to flow back through the warehouse and reappear in available inventory has lost time it cannot recover. In seasonal categories, that delay can mean the item misses its selling window entirely. In non-seasonal categories, inventory that sits drives holding cost and reduces working capital efficiency.
When inventory does reenter the active catalog after a delay, it often does so at a discount. Either the brand has aged the SKU down in price, or the item is routed to a secondary channel at a fraction of full retail. That markdown represents the difference between recovery and loss.
Fraud Leakage
Fraud is not an exceptional event in high-volume returns operations. It is a predictable, recurring percentage of the return stream. Return fraud — wardrobing, item swapping, empty-box claims — adds a direct financial loss that is invisible in average cost calculations because it is typically measured separately, if at all, and behaviors like wardrobing and how to minimize it deserve dedicated attention from loss prevention teams. According to NRF and Appriss Retail data, return fraud reached $101 billion in 2023. That is not a rounding error. It is structural leakage that compounds on top of every other cost in this stack, making returns fraud and refund fraud a silent profit killer in many programs.
The Fully Loaded Average
When these layers are assembled, industry analysis puts the average total cost per return at approximately $40.75. That figure — drawn from analysis of more than one million returns by ReturnLogic and corroborated by studies from Alexander Jarvis and ReverseLogix — includes shipping, handling, repackaging, and secondary costs. ReverseLogix further estimates that returns cost 17 to 30 percent of an item’s original sale price when fully accounted for.
On a $100 item, that is a $17 to $30 loss before any consideration of customer acquisition spend or capital timing effects.
The $59.99 Apparel Item: Three Scenarios
Abstract ranges are useful. Concrete examples are more useful. The following worked example, derived directly from Part I of the Returns Bible analysis, illustrates what cost exposure actually looks like at the SKU level.
The item: A hooded sweatshirt, medium, retailing at $59.99. Shipped from Ohio to Georgia. Item cost (landed): $22.32. Outbound shipping label: $9.58. Outbound shipping supplies: $1.22. Outbound labor: $2.99.
Fashion, clothing, and footwear have return rates frequently exceeding 20% to 30%, primarily due to fit and sizing issues, including customers ordering the wrong size, which makes crafting the perfect e-commerce returns program especially critical in these categories.
Scenario A: No Return
Total margin on a clean sale: approximately $17.88. This is the reference point — what the transaction is worth when no return occurs.
Scenario B: Returned and Unsellable
The customer initiates a return. The item comes back damaged, worn, or otherwise unresellable. The brand issues a full refund of $59.99, pays the inbound return label ($9.58), absorbs inbound labor and processing ($2.99), and retains the item with zero resale value.
The fully loaded loss on this transaction: approximately $54.68.
To be precise: what started as a transaction with $17.88 of margin becomes a transaction with a $54.68 loss. The swing between Scenario A and Scenario B is over $72. That is not a shipping problem. That is a structural margin destruction event.
Scenario C: Returned and Resold at a 30% Discount
The item comes back in resellable condition. The team repackages it, relists it as open box at $41.99 (30% off), ships it again with a second outbound label and labor cost, and the item eventually sells.
The loss on this transaction: approximately $23.53.
This is the best-case return outcome — and it still results in a $23.53 loss on what was originally a $17.88 margin sale. Even functional recovery produces a net-negative outcome once all the cost layers are included.
These three scenarios illustrate what the cost of returns actually looks like in practice. The average masks the range. The range is what matters.
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I'm Interested in Peer-to-Peer ReturnsThe Myth vs. Reality of a $100 Return
The myth is straightforward: a $100 return costs whatever the return label costs, plus a few dollars of warehouse handling. Call it $10 to $15. That is the number most operators use. It is the number that makes returns feel manageable.
The reality is different.
A $100 return includes:
- Lost gross margin on the original sale. The margin from the initial transaction does not survive a return. It is refunded. The cost of goods, however, remains spent.
- Dual freight. Two shipping legs, each costing $7 to $9. Combined, $14 to $18 before the item is touched.
- Intake and processing labor. $10 to $15, fully loaded, for receiving, inspection, grading, repackaging, and system updates.
- Markdown or liquidation exposure. Items that reenter the catalog at a discount, or that route to secondary channels, recover a fraction of original value — not full value.
- Fraud leakage. A predictable percentage of returns are fraudulent or abusive, adding direct losses that do not appear in standard per-return cost calculations.
- Customer acquisition cost. This is the silent amplifier that most cost calculations omit entirely.
On a $100 sale, if the customer acquisition cost is $50 — a reasonable figure for mid-market apparel, where CAC commonly runs 7 to 12 percent of revenue and blended customer economics push higher — that spend is unrecoverable on a returned order. It was spent to acquire a customer who generated no net revenue. The item was sold, shipped, returned, and refunded. The $50 in paid media or influencer spend that drove the purchase is simply gone.
When CAC is factored in, a $100 sale that results in a return can produce a net loss in the $80 to $90 range. The math is not hypothetical. It is the operational reality for any brand running paid acquisition at scale and tracking return rates with honest accounting.
Capital Timing Distortion: The Problem Nobody Talks About
There is a timing dimension to the cost of returns that does not appear on most returns dashboards, but that CFOs and operations leaders feel acutely.
When a return is initiated, the refund is typically issued quickly. Most return portals issue refunds on initiation or on confirmed shipment — often within 24 to 72 hours. The customer’s cash is back in their account.
The inventory, however, is not back in the catalog. It is somewhere in the reverse logistics pipeline — in transit, at an inbound dock, in an inspection queue, awaiting repackaging, or pending relisting decisions. That process takes days. In busy periods, it takes weeks.
During that window, the brand has done the following: spent the cost of goods, spent two shipping legs, paid the refund, and received nothing in return — not cash, not inventory, not a sellable asset. The working capital tied to that transaction is frozen in a physical item that is not yet available for resale.
This capital timing distortion compounds across return volume. A brand processing 500 returns a week, each tying up $60 to $100 in cost basis for two to three weeks before resolution, is carrying a substantial and often invisible working capital drag. The cash conversion cycle worsens with every return that enters the pipeline. Finance teams that look only at returns as an operating expense — not as a working capital event — are missing a significant portion of the true cost.
Returns are not just operational friction. They are a capital allocation problem.
Compounding at Scale: The Architecture of Margin Erosion
Individual return economics are concerning. At volume, they become structural.
The reason the cost of returns has become an existential issue for many brands is not that any single return is catastrophic. It is that return rate multiplied by volume multiplied by layered cost per unit produces a compounding effect that overwhelms operational improvements.
Consider what a 1 percentage point increase in return rate means for a mid-market brand doing $20 million in annual revenue. At a 15% return rate, that is $3 million in returned merchandise per year. At 16%, it is $3.2 million. The incremental $200,000 in returned goods, processed at a fully loaded cost of $40.75 per unit on a $100 average order value, generates approximately $81,500 in additional direct costs — before markdown exposure, CAC erosion, or capital timing effects.
That is not a returns management problem. That is an architecture problem.
The warehouse-centric returns model accumulates cost at every step because it was never designed for the volume or velocity of modern ecommerce. Returns were originally episodic. They are now industrial. The cost stack described above was always present — it was simply invisible at low volumes. At current volumes, it is the difference between a profitable unit economics model and one that cannot sustain growth.
As Part I of the Returns Bible establishes, U.S. retail returns reached $890 billion in 2024, the highest level on record. Online returns alone reached $247 billion in 2023. These are not rounding errors. They are signals that the compounding math has overtaken the model.
Small changes in return rate create exponential margin pressure not because the math is exotic, but because the cost layers are multiple and sequential. A brand that thinks it is managing returns well because its processing fee is competitive may be losing 20 to 30 percent of sale price on every returned item and attributing the margin shortfall to channel costs, platform fees, or inventory write-downs instead.
The problem is not episodic. It is architectural. And it compounds.
Traditional Returns Are Ending
Ecommerce built a returns system for a smaller internet. Today it’s collapsing under scale. Warehouses can’t absorb the volume, costs keep rising, and retailers are quietly tightening policies. This article explains why the old model is failing and what replaces it.
Read the Returns BibleWhat Accurate Return Cost Accounting Actually Requires
Retailers who want to understand the true cost of returns need to move beyond average processing cost and build a fully loaded return P&L. That means accounting for:
- Outbound freight (spent at time of original fulfillment)
- Inbound return freight (per-leg cost, not blended)
- Intake and inspection labor (per-unit, fully loaded)
- Repackaging materials and labor
- Inventory holding cost during recovery delay
- Markdown or liquidation haircut at time of resale
- Fraud and shrinkage rate applied to return volume
- CAC attributable to returned orders
- Capital cost of refund float during inventory recovery
Each of these inputs exists in the operational data of most mid-market and enterprise retailers. The challenge is that they live in different systems — the WMS, the carrier invoices, the marketing platform, the financial model — and nobody has assembled them into a single return cost view.
That assembly is the starting point. Without it, every decision about return policy, return fees, return volume thresholds, and return channel investment is being made on incomplete data. The cost of returns is not a shipping fee. It is a multi-layer margin event. Treating it as anything less is a strategic error that compounds with every return that enters the pipeline.
Frequently Asked Questions
What is the true average cost of processing a single ecommerce return?
Industry analysis puts the fully loaded average at approximately $40.75 per return, accounting for shipping, labor, inspection, repackaging, and secondary costs. This figure is substantially higher than the per-label cost most operators track, because it includes intake labor, repackaging, and markdown exposure that are typically measured separately or not at all.
Why does the average per-return cost mislead retailers?
Averages flatten the distribution of return outcomes. A large volume of low-friction, resellable returns makes the average look manageable, while masking the tail of high-cost cases — damaged items, fraudulent returns, seasonal goods that miss resale windows — where the actual loss per unit is dramatically higher. Managing by average cost means systematically underestimating exposure on the worst-performing returns.
Does the outbound shipping cost factor into the real cost of a return?
Yes. When an order is returned, the original outbound freight is unrecoverable. It was spent to deliver a product the customer sent back, generating no net revenue. Most return cost calculations start with the inbound return label, which means they are ignoring the first shipping leg entirely. The true freight exposure on a returned order is two legs, not one.
How does customer acquisition cost affect return economics?
Customer acquisition cost is a silent amplifier of return losses. When a customer returns an order, the marketing spend that drove that transaction — paid search, social ads, influencer campaigns — generates no revenue. The brand spent to acquire a customer who returned the product and received a full refund. On a $100 order where CAC is $50, that cost is simply absorbed with no offsetting revenue. At scale, this dynamic turns an individually manageable return into a significant drag on return on ad spend.
What does the $59.99 apparel return example show about return economics?
The $59.99 apparel scenario illustrates how margin collapses across three outcomes. On a clean sale, the item generates approximately $17.88 in margin. If the item is returned and unsellable, the transaction results in approximately $54.68 in losses — a swing of over $72. If the item is returned and resold at a 30% discount, the loss is approximately $23.53. Even the best-case return outcome produces a net loss on a transaction that otherwise generated nearly $18 in margin. The example demonstrates that returns are not a shipping inconvenience — they are a contribution margin destruction event.
Why is capital timing an underappreciated part of return cost?
Most return cost analysis focuses on operating expenses — freight, labor, markdowns. What it misses is the timing of cash flows. Refunds are typically issued within 24 to 72 hours of return initiation. Inventory recovery — the process of receiving, inspecting, repackaging, and relisting a returned item — takes days to weeks. During that window, the brand has spent the cost of goods and issued the refund, but has no sellable asset in exchange. This working capital drag compounds across return volume and worsens the cash conversion cycle in ways that do not appear in standard return cost reporting.
At what point do return rates create structural margin problems?
Return rate creates structural pressure when its compounding effect exceeds what operational efficiency can offset. For most mid-market ecommerce brands, a 1 percentage point increase in return rate on $20 million in revenue generates $200,000 in incremental returned merchandise, which at a fully loaded return cost of $40.75 per unit on a $100 average order value produces approximately $81,500 in additional direct costs — before CAC erosion, markdown exposure, or capital timing effects. The problem is not any single return rate level. It is the architecture of costs that activates with each marginal point of increase.
How do return policies and free returns impact consumer behavior and retailer strategy?
A significant percentage of consumers consider free returns a key factor in their purchasing decisions, and return policies are increasingly shaping consumer shopping habits, especially among younger generations. Offering “free returns” means the business absorbs return shipping costs, which can be higher than outbound shipping costs. Retailers are using technology to create customized return policies that balance customer satisfaction with profit margins, raising important questions about the true cost and sustainability of free returns. Improving the returns experience is a key goal for many retailers as they seek to enhance customer loyalty.
Written By:
Manish Chowdhary
Manish Chowdhary is the founder and CEO of Cahoot, the most comprehensive post-purchase suite for ecommerce brands. A serial entrepreneur and industry thought leader, Manish has decades of experience building technologies that simplify ecommerce logistics—from order fulfillment to returns. His insights help brands stay ahead of market shifts and operational challenges.
Turn Returns Into New Revenue
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Amazon’s 7% Slower-Delivery Discount Signals a Bigger Shift in Ecommerce
In this article
7 minutes
- The Industry Is Rewriting the Rules of Delivery
- Fast Shipping Was Always Subsidized
- The Pullback Is Industry-Wide, Not Just Amazon
- Consumers Have Already Moved On
- Speed Was Never the Real Driver
- Slower Shipping Creates Better Customers
- The Real Shift: From Speed to Control
- What Ecommerce Operators Should Do Now
- Fast Shipping Isn’t Going Away. But It’s No Longer the Default
- Frequently Asked Questions
Amazon offering discounts for slower delivery is not a feature update. It is a signal that ecommerce is being forced to correct a long-standing assumption about speed and cost.
For years, fast and free shipping was treated as a requirement. What is becoming clear now is that it was never a sustainable one. As costs rise and consumer behavior shifts, delivery is being redefined from a competitive perk into a lever for profitability and customer quality.
The Industry Is Rewriting the Rules of Delivery
The narrative often starts with Amazon offering a 7% discount to customers who choose a later delivery date. But focusing only on Amazon misses the bigger picture.
Retailers across the market are expanding “no-rush” or economy delivery options. Brands like Gap now offer multiple shipping speeds, with the slowest options often being the cheapest or free. Other merchants are pushing delivery windows out to one or even two weeks.
This is not experimentation at the margins. It is a coordinated shift in how delivery is positioned.
For years, the industry competed on speed because it believed faster delivery created better customer experiences and higher conversion. That belief is now being challenged by both economics and data.
Fast Shipping Was Always Subsidized
Fast delivery did not become standard because it was efficient. It became standard because it was subsidized.
Retailers absorbed the cost of expedited shipping as a customer acquisition strategy. Carriers expanded their networks to support higher volumes. The entire system was built around the idea that speed would drive growth.
That model is now under pressure.
Since 2020, major carriers like UPS and FedEx have raised base rates annually while adding surcharges for fuel, residential delivery, and package dimensions. Even the lowest-tier services can start at price points that make free two-day shipping difficult to justify for many products.
At the same time, carriers are becoming more selective. FedEx has been explicit that it wants to focus on higher-value shipments and is less interested in low-margin ecommerce volume.
What used to be a growth engine is now a cost center.
The Pullback Is Industry-Wide, Not Just Amazon
Amazon is not alone in adjusting its approach. In many ways, it is following a broader shift that has already taken hold across ecommerce.
Retailers are introducing slower delivery tiers, encouraging customers to choose flexible delivery windows, and experimenting with pricing incentives tied to timing.
Logistics providers are doing the same. Wider delivery windows allow carriers to consolidate shipments, improve truck utilization, and reduce per-package costs. Even small extensions in delivery timelines can meaningfully lower operating costs across a network.
The result is a system that increasingly rewards flexibility rather than speed.
Consumers Have Already Moved On
The most important shift is not happening inside logistics networks. It is happening with consumers.
Shipping cost has overtaken delivery speed as the top priority for online shoppers. A large majority of consumers now prefer free standard shipping over paying for expedited delivery, even if it means waiting several extra days.
This is a significant reversal from just a few years ago, when speed was often the deciding factor.
The rise of companies like Shein and Temu accelerated this change by normalizing longer delivery times in exchange for lower prices. Once customers experienced that tradeoff, expectations began to reset.
The market moved first. Retailers are now catching up.
Speed Was Never the Real Driver
One of the more revealing insights from recent ecommerce data is that speed was not the primary driver of conversion in the first place.
Uncertainty was.
When customers abandon carts, it is often not because delivery is too slow. It is because delivery expectations are unclear or unreliable. When timelines are communicated clearly and consistently, customers are far more willing to wait.
This distinction matters.
It means that faster shipping is not always the solution. In many cases, better communication and more predictable delivery windows can achieve the same or better outcomes at a lower cost.
Slower Shipping Creates Better Customers
There is another effect that is easy to overlook.
Slower delivery can improve customer quality.
Retailers that have extended delivery timelines are seeing lower return rates, sometimes by 20% to 30%. The reason is simple. Customers who are willing to wait tend to be more intentional in their purchases.
They are less driven by impulse. They are more aligned with the value of the product. And they are less likely to return items after receiving them.
Fast shipping, on the other hand, can encourage low-commitment buying behavior. When products arrive quickly and returns are easy, the cost of making a poor decision is low.
Slowing down the process introduces friction in a way that can actually improve profitability.
The Real Shift: From Speed to Control
What is happening is not a move toward slower shipping for its own sake. It is a shift toward control.
Delivery is becoming a lever that operators can use to manage cost, shape demand, and influence customer behavior.
Flexible delivery windows allow for smarter routing decisions. Multi-warehouse strategies can balance speed and cost depending on the order. Incentives can be used to shift demand toward less expensive fulfillment paths.
In this context, delivery is no longer just a service level decision. It is part of the pricing and margin strategy.
This is where many ecommerce operators need to rethink their approach.
Optimizing for speed alone is no longer sufficient. The goal is to optimize for outcomes, balancing cost, customer experience, and operational efficiency.
What Ecommerce Operators Should Do Now
This shift creates both risk and opportunity.
Operators who continue to treat fast shipping as a default requirement will find themselves absorbing rising costs without a corresponding increase in value.
Those who adapt can use delivery as a strategic tool.
That starts with re-evaluating shipping promises. Not every product needs to arrive in two days. In many cases, offering a slower, cheaper option can improve both margins and customer alignment.
It also requires better visibility and control over fulfillment decisions. Routing logic, carrier selection, and delivery timing should be actively managed rather than treated as fixed rules.
Finally, communication becomes critical. Customers are willing to wait, but only if expectations are clear. Transparency around delivery windows can do more for conversion than incremental speed improvements.
Fast Shipping Isn’t Going Away. But It’s No Longer the Default
There will always be cases where speed matters.
Urgent purchases, high-value items, and certain customer segments will continue to demand fast delivery. Amazon, Walmart, and others will keep investing in same-day and next-day capabilities.
But fast shipping is no longer the baseline expectation for every order.
What we are seeing is a rebalancing.
Speed is becoming one option among many, rather than the defining feature of ecommerce. Cost, flexibility, and predictability are taking on a larger role in how delivery is designed and communicated.
Amazon’s 7% discount is a visible signal of that shift. The deeper change is already underway.
Frequently Asked Questions
Why is Amazon offering a discount for slower delivery?
Amazon is incentivizing customers to choose delivery options that are less expensive to fulfill. Slower delivery allows for better route optimization and lower per-package costs.
Are consumers really willing to wait longer for delivery?
Yes. Recent data shows that most consumers prefer free standard shipping over paid expedited options, even if it means waiting several additional days.
Does slower shipping hurt conversion rates?
Not necessarily. Clear and reliable delivery expectations often matter more than speed. Many customers are willing to wait if timelines are communicated effectively.
How does slower delivery reduce returns?
Customers who choose slower delivery tend to be more intentional in their purchases. This leads to fewer impulse buys and lower return rates.
Is fast shipping becoming less important in ecommerce?
Fast shipping is still important in certain cases, but it is no longer the primary driver of customer decisions. Cost and predictability are becoming more influential.
Written By:
Rinaldi Juwono
Rinaldi Juwono leads content and SEO strategy at Cahoot, crafting data-driven insights that help ecommerce brands navigate logistics challenges. He works closely with the product, sales, and operations teams to translate Cahoot’s innovations into actionable strategies merchants can use to grow smarter and leaner.
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Why Returns Are Becoming a Board-Level Topic
In this article
22 minutes
- Returns Are No Longer Treated as the Cost of Customer Satisfaction in Ecommerce
- How Returns Cause Margin Erosion at Scale
- Working Capital Is Getting Trapped in the Reverse Logistics Cycle
- Fraud Is a Financial Exposure, Not Just a Policy Problem
- Sustainability and Regulation Are Removing the Option to Do Nothing
- The Importance of Detailed Product Information
- The Architecture Problem Boards Are Beginning to Ask About
- Frequently Asked Questions
Returns have quietly become one of the most consequential financial problems in ecommerce, and boards are finally being forced to confront what operators have known for years. What began as a logistics footnote has evolved into a cross-functional liability that directly affects gross margin, working capital, fraud exposure, ESG disclosures, and long-term scalability.
This is not a customer experience story. It is a finance story. And the shift is already underway.
For years, returns were treated as the cost of doing ecommerce — an acceptable trade-off for higher conversion and customer loyalty. That assumption no longer holds. According to the NRF, U.S. retail returns totaled $890 billion in 2024, representing 16.9% of all merchandise sold. That figure has roughly doubled in five years, not because ecommerce is growing at the same pace, but because the system handling returns was never built to operate at this scale. Returns did not grow into a problem. They escaped the infrastructure designed to contain them. This gap between reported profits and the true economic reality for a company is widening, as return-related expenses like shipping, handling, and disposal are often underestimated and create significant challenges for overall profitability.
What changed is who is noticing. Returns are no longer appearing only in logistics reports and customer satisfaction scores. They are showing up in margin analyses, investor questions, ESG filings, and risk assessments. While most brands have historically treated returns as just a logistics issue, companies must now recognize the strategic impact returns have on profits and margin.
Those are not operational questions. They are strategic ones. Returns introduce additional overhead costs that are often not visible in standard ecommerce analytics reports, leading to underestimated impacts on profit margins.
Make Returns Profitable, Yes!
Cut shipping and processing costs by 70% with our patented peer-to-peer returns solution. 4x faster than traditional returns.
See How It WorksReturns Are No Longer Treated as the Cost of Customer Satisfaction in Ecommerce
The clearest signal of this shift is the nature of the conversation at the executive and board level. Returns now appear explicitly in discussions that previously had nothing to do with reverse logistics.
The specific topics surfacing include:
- Margin leakage from shipping, labor, markdowns, and inventory distortion
- Working capital drag from cash tied up in refunds and unsaleable returned inventory
- Sustainability disclosures and Scope 3 emissions exposure from reverse logistics
- Fraud exposure as return fraud scales faster than detection capabilities
- Operational scalability as return volume outpaces warehouse capacity
A high return rate is now recognized as a major factor impacting profit margins and operational scalability, forcing leadership to address returns as a core business issue.
Each of these was once managed in isolation, buried in departmental budgets, or simply accepted as unavoidable friction. That tolerance is running out.
The pattern from Part III of Cahoot’s Returns Bible is clear: over the past 24 months, the ecommerce returns landscape has been reshaped more profoundly than in the prior decade. Pressure arrived simultaneously from platforms, carriers, retailers, regulators, investors, and consumers. No single event drove this. The cumulative weight of structural signals reached a threshold where the problem could no longer be managed quietly. Product returns are now a central concern for companies, requiring a strategic approach to the returns process to minimize revenue loss and shrinkage.
Amazon’s introduction of “Frequently Returned Item” labels in March 2023 made returns reputationally visible. Sellers report the badge as a conversion killer, and Amazon compounded the accountability pressure in June 2024 by introducing return processing fees for FBA sellers whose return rates exceed category-specific thresholds. Returns are no longer invisible friction handled behind the scenes. They are now a seller-facing, consumer-visible reputational metric with direct fee consequences.
Major apparel retailers followed by normalizing return fees across the market. Zara began charging $3.95 for U.S. returns in 2022. H&M followed shortly after. J.Crew, Anthropologie, Abercrombie and Fitch, Macy’s, and Best Buy all introduced or expanded fees. By 2025, 72% of retailers charge for at least some returns, up from 66% the prior year. What was once considered brand risk is now standard practice. The expectation reset happened industry-wide, which is the only way such resets stick. Most brands now treat returns as a strategic issue, not just a logistics issue, and are implementing smarter ways to treat returns, including leveraging data insights and cost-optimization strategies.
At the board level, the questions being asked have shifted from tactical to structural. Why is the cost per return not declining despite better tooling? Why does return volume continue to grow even as ecommerce penetration stabilizes? What portion of these costs is actually reducible, versus inherent to the current model? A major challenge is reconciling data from multiple systems, which impacts accurate reporting of net sales and overall profitability, especially when handling returns and restatements across different data sources.
Those are not questions operations can answer alone.
Return fraud and abuse can ripple throughout an entire business, reducing net sales and creating shrink, acting as a silent profit killer for retailers. Returns management software can automate the returns process and collect valuable return data to identify trends. Real-time data analysis can reduce return fraud and improve cash flow by keeping cash where it belongs. Using data analytics to track returns helps identify high-risk return fraud patterns and improve profitability, while implementing smart segmentation in return policies allows businesses to manage returns and deliver a seamless customer experience.
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See How It WorksHow Returns Cause Margin Erosion at Scale
The returns impact on margin is not subtle. It is systematic, and it compounds.
Processing a single return costs between 27 and 30% of the original purchase price, according to CBRE and Optoro. When shipping, inspection labor, repackaging, and markdown risk are stacked together, the fully loaded cost per return approaches $40 or more on average. On a moderately priced item, the margin that looked healthy at point of sale can be entirely consumed or inverted by the time a returned unit is reprocessed and resold, if it is resold at all. The costs associated with ecommerce returns—including reverse logistics, processing fees, and lost profit margins—can total between 20% and 65% of the item’s original value.
Only about 48% of returned merchandise is resold at full price. The rest requires markdown, liquidation, or disposal. Roughly 44% of apparel returns never reenter inventory at full value. The items that do return take time — time during which seasonal demand decays, styles shift, and markdown pressure accumulates. Even when recovery happens, the margin recovered is a fraction of what was originally earned. Every return generates new shipping, handling, and restocking costs that can significantly impact profit margins.
The deeper problem is that revenue growth can mask this deterioration. A brand scaling aggressively may report rising top-line numbers while unit economics quietly erode underneath. When return rates run at 20 to 25% of online orders — a range that is now common in apparel and footwear — the effective margin on a large portion of the revenue line is structurally negative before any other cost is considered. Returns can represent 10-20% of total revenue, severely impacting profit margins, especially in low-margin environments. High-revenue items can be disproportionately affected by returns, making it critical to identify and manage these products to protect overall business performance.
This is why the finance conversation matters. The per-return math that operations teams track in averages hides the tail risk. Averages flatten volatility. The real exposure lies in categories with high return rates, high-cost items, and concentrated return timing. Boards care about margin durability, not average-case scenarios. And the average case in ecommerce returns is increasingly the wrong frame. To understand true profitability, it is essential to analyze contribution margin at the product level, adjusting for return costs, so that strategic decisions and inventory management are based on accurate, return-adjusted financial performance.
The practical consequence: a brand can grow revenue by 20% while gross margin shrinks, and the divergence can persist for multiple quarters before it surfaces clearly in financial reporting. By the time it becomes obvious, the corrective window has narrowed considerably. In some e-commerce sectors, return rates exceeding 50% can severely damage profitability.
Working Capital Is Getting Trapped in the Reverse Logistics Cycle
Returns are not only a P&L problem. They are a balance sheet problem.
When a customer initiates a return, the cash moves immediately. The refund is processed. The revenue is reversed. But the inventory does not move at the same pace. Under manual processing, returned goods spend an average of 7 to 14 days in receiving queues before they are inspected, graded, and restored to a saleable state. In lower-investment operations, that lag can extend to 60 days or more.
During that window, the retailer has already absorbed the cash outflow of the refund, has paid the supplier for the original inventory cost, and cannot yet sell the returned unit. Cash is out. The asset is in limbo. Inventory systems frequently show “out of stock” while returned units sit in the warehouse unprocessed, generating phantom stockouts and missed sales opportunities. Optoro estimates that 47% of retail executives cite slow time-to-restock as their primary returns pain point, a number that points directly to the capital efficiency problem boards care about.
The working capital damage compounds across three dimensions. First, the refund creates an immediate cash outflow that does not correspond to any corresponding asset recovery until the item is restocked and resold. Second, the delayed restocking inflates effective Days Inventory Outstanding, degrading the cash conversion cycle. Third, for any returned items that cannot be resold at full price — roughly half of the total — the capital invested in that inventory is permanently impaired. It becomes a write-down, not a recovery.
Boards and CFOs focus on cash velocity and capital efficiency. Working capital trapped in slow-moving, incomplete returns processing directly reduces both. It is not P&L noise. It is a predictable, structural drain on the cash available to fund growth.
Forecast accuracy suffers as well. Returns create demand signal distortion. When a significant portion of shipped orders return, the sell-through data becomes unreliable. Inventory planning built on distorted demand signals generates both overstock and stockout risks. The operational cost of poor forecasting flows back into working capital through excess inventory carrying costs and emergency restocking.
Fraud Is a Financial Exposure, Not Just a Policy Problem
Return fraud reached $103 billion in 2024, according to Appriss Retail and Deloitte. That figure represents 15.14% of all returns, up from 13.7% the prior year and roughly four times the level reported in 2019. The trajectory is not random. It is a structural consequence of a system that creates fraud opportunity at every handoff.
The fraud problem matters to boards not because any single incident is catastrophic, but because the aggregate loss compounds quietly and the detection gap is widening. Retailers surveyed by Appriss Retail and Deloitte reported increases across every fraud category: overstated return quantities, empty box schemes, counterfeit item substitutions, wardrobing, and claims fraud. Meanwhile, 85% of retailers have deployed AI fraud detection tools, but only 45% find those tools effective. Fraudsters are adapting faster than controls.
From an investor and board perspective, the critical framing is not which fraud type is most common. It is that fraud exposure is rising, reactive detection is insufficient, and the cost sits in the same margin bucket as legitimate operational losses. It does not appear as a separate line item on the P&L. It is folded into the return cost that finance teams attempt to model and boards attempt to understand.
The scale matters: $103 billion in fraudulent returns represents a loss pool larger than the annual revenue of most individual retailers in the country. At a portfolio level, fraud is not a rounding error. It is a material drag on profitability that no amount of current tooling has demonstrably reversed.
The systemic reason fraud scales so effectively in traditional return flows is that the warehouse-centric model creates multiple anonymous handoffs — between customer, carrier, dock, inspection queue, and restocking workflow — where items can be swapped, misrepresented, or manipulated. Each additional touchpoint is an attack surface. The more complex the reverse logistics chain, the more opportunity fraud finds.
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I'm Interested in Peer-to-Peer ReturnsSustainability and Regulation Are Removing the Option to Do Nothing
Returns have historically been treated as an environmental externality — a cost the supply chain absorbed without disclosure. That era is ending.
The emissions footprint of reverse logistics is substantial. U.S. retail returns generated approximately 24 million metric tons of CO2 in a single year, equivalent to the annual output of more than 5 million passenger vehicles. Every returned item effectively doubles its shipping emissions. Approximately 9.5 billion pounds of returned goods reach landfill annually. For apparel specifically, roughly 44% of returns never reenter active inventory and are liquidated, incinerated, or discarded.
These numbers are becoming harder to externalize as regulators move from voluntary disclosure to mandatory reporting and from reporting to outright prohibition.
The regulatory environment is advancing on multiple fronts. The EU’s Ecodesign for Sustainable Products Regulation bans large companies from destroying unsold apparel, footwear, and accessories effective July 2026, with medium-sized companies following by 2030. Retailers operating in the EU will be required to publicly disclose the number, weight, category, and disposal destination of discarded unsold products beginning in 2027. France’s AGEC law has already implemented this ban domestically since 2022. The EU Packaging and Packaging Waste Regulation requires all ecommerce packaging to be recyclable by 2030, with dimensional constraints on empty space that tighten return packaging options.
In the United States, the federal SEC climate disclosure rule has been abandoned by the current administration and is effectively dead. However, California’s SB 253 is very much in force. It requires companies with over $1 billion in annual revenue doing business in California to report Scope 1 and 2 emissions by August 2026 and Scope 3 emissions beginning in 2027, with CARB approving implementing regulations in February 2026. Reverse logistics emissions fall within the Scope 3 categories that will require disclosure for in-scope retailers. Similar legislation is advancing in New York, Colorado, New Jersey, and Illinois.
For global brands with EU operations or revenue, sustainability is already a compliance obligation. For U.S.-only retailers above the California threshold, it becomes one by 2027. For brands below those thresholds today, the investor and consumer pressure that accompanies voluntary sustainability reporting is already present and intensifying.
The strategic risk is not only regulatory. Brands that are seen publicly disposing of returned merchandise face reputational exposure with a consumer base that increasingly connects purchasing decisions to environmental impact. Returns are framed as a waste problem in ways they were not even five years ago. That framing carries real brand risk at scale.
When returns create sustainability liability, compliance exposure, and reputational risk simultaneously, they belong in the boardroom regardless of whether any specific regulation has yet triggered a reporting obligation.
The Importance of Detailed Product Information
In today’s ecommerce landscape, detailed product information is no longer a nice-to-have—it’s a critical lever for reducing return rates, improving customer satisfaction, and protecting profit margins. As returns continue to account for nearly 17% of total retail sales in 2024, the cost burden on retailers has become impossible to ignore. What was once dismissed as just a logistics issue now threatens the entire business, eroding net sales, customer loyalty, and ultimately, the bottom line.
Not all customers are the same, and their reasons for returning products are as varied as their preferences. Some returns are inevitable, but many are preventable. When ecommerce businesses provide accurate, comprehensive product descriptions—including sizing charts, high-resolution images, and customer reviews—they empower customers to make better choices at the point of purchase. This reduces the likelihood of returns due to mismatched expectations around size, color, fit, or quality, and directly lowers processing costs, shipping costs, and restocking fees.
Fashion ecommerce is a prime example of how high return rates can become a massive drain on resources. Apparel and footwear categories routinely see return rates exceeding 20%, with each return chipping away at profit margins through reverse logistics, markdowns, and inventory write-downs. For these retailers, investing in detailed product information—such as precise sizing charts, fabric details, and real customer feedback—can significantly reduce return rates, improve customer satisfaction, and foster loyalty that drives future purchases and revenue growth.
Effective inventory management is another essential piece of the puzzle. By leveraging returns data and analytics, ecommerce businesses can identify high-return categories and root causes, allowing them to refine product pages, adjust inventory levels, and implement targeted strategies like free returns or restocking fees where appropriate. This data-driven approach not only reduces unnecessary returns but also optimizes inventory turnover and cash flow, supporting healthier contribution margins and net sales.
However, the rise of return fraud and serial returners adds another layer of complexity. Some customers exploit generous return shipping policies or free returns, turning what should be a customer satisfaction tool into a cost center. To combat this, retailers must implement robust return policies, monitor return rates, and flag suspicious patterns. By combining strong policy enforcement with transparent, detailed product information, ecommerce businesses can reduce the risk of losing money to fraudulent returns while maintaining a positive customer experience for loyal customers.
Ultimately, detailed product information is a strategic asset for ecommerce businesses. It reduces the high return rates that erode profitability, supports better inventory management, and helps build the trust and loyalty that drive future purchases. In a market where returns are a massive drain on resources and a growing threat to profitability, treating returns as a necessary evil is no longer enough. Retailers who prioritize accurate product descriptions, leverage returns data, and enforce smart return policies will be best positioned to protect their bottom line, drive growth, and deliver the customer satisfaction that fuels long-term success.
Traditional Returns Are Ending
Ecommerce built a returns system for a smaller internet. Today it’s collapsing under scale. Warehouses can’t absorb the volume, costs keep rising, and retailers are quietly tightening policies. This article explains why the old model is failing and what replaces it.
Read the Returns BibleThe Architecture Problem Boards Are Beginning to Ask About
Boards are not just asking about cost optimization. They are beginning to question the underlying architecture.
Every response the industry has deployed — better returns management software, more drop-off locations, exchange-first flows, AI fraud scoring, return fees — operates inside the same core assumption: returned items must travel back to a centralized warehouse or distribution center before they can reenter the market.
That assumption is the source of most of the costs outlined above. The two shipping legs, the inspection labor, the repackaging, the restocking delay, the markdown risk while inventory sits idle — these are not inefficiencies that better execution can eliminate. They are structural features of a warehouse-centric model applied to a problem it was not built to handle at ecommerce scale. Additionally, process inefficiencies are often compounded by the challenge of reconciling data from multiple systems, which can hinder accurate reporting and decision-making regarding returns’ impact on margin.
No amount of software fixes the physics. Tools can reorder steps, optimize decisions, and reduce errors. They cannot change the fact that distance, time, and handling compound cost every time an item moves backward through the supply chain. However, centralizing and automating the returns process can provide consumers with a seamless returns experience across all channels.
This is the hinge on which the board conversation turns. When returns cost what they cost despite years of investment in tooling and process improvement, the question shifts from “how do we execute this better?” to “why does this have to work this way at all?” Volume, fraud, and markdown risk all make the traditional model worse as scale increases. The diseconomies are structural, not operational. Using returns management software can help automate the returns process and collect valuable return data.
Boards are beginning to recognize that the question is not whether returns are expensive. It is whether the organization is structurally equipped to reduce that expense in a way that does not merely redistribute the cost or add friction to the customer experience. When that question surfaces at the board level, incremental fixes are no longer a sufficient answer. Data-driven decisions in returns management can help retailers identify high-risk ecommerce return and refund fraud patterns and improve customer loyalty.
Frequently Asked Questions
What does returns impact on margin actually mean for an ecommerce business?
Returns impact on margin refers to the total effect that returned merchandise has on a retailer’s gross margin after all associated costs are accounted for. This includes inbound shipping, inspection and processing labor, repackaging, markdown losses on resold units, and the portion of inventory that cannot be resold at all. Industry estimates place the fully loaded cost of a single return at 27 to 30% of the original purchase price on average, which means a product with a 30% gross margin can be entirely unprofitable once a return is processed. At scale, even modest return rates can compress total gross margin by several percentage points across the revenue base. Fashion ecommerce and fashion brands face unique challenges due to high return rates, making it especially important to use detailed descriptions and virtual fitting technology to help reduce returns and protect margins.
Why are boards and investors paying more attention to returns now than they were five years ago?
Several forces converged simultaneously. Return volumes doubled between 2020 and 2025, reaching $890 billion in 2024. Fraud losses crossed $100 billion annually. EU regulations began restricting the destruction of returned and unsold goods. Sustainability disclosure requirements are advancing at state and international levels. Major platform players like Amazon introduced seller penalties and consumer-facing return rate badges. Each of these individually would have warranted attention. Together, they made returns a material financial, regulatory, and reputational issue that could no longer remain an operational footnote.
How do returns create working capital drag beyond the direct cost per return?
Returns create a timing mismatch between cash outflows and asset recovery. When a refund is issued, the cash leaves immediately. The returned item then spends days or weeks in processing before it is inspectable, gradeable, and returned to saleable inventory. During that window, the retailer has spent the refund, still owes the supplier for the original item cost, and cannot yet generate revenue from the returned unit. For items that cannot be resold at full price — roughly half of all returns — the capital invested in that inventory is permanently impaired. This extends the cash conversion cycle and distorts demand signals used for inventory forecasting.
Is return fraud actually a board-level concern or primarily an operational issue?
Return fraud is a board-level concern because of its scale and trajectory, not just its operational complexity. Fraudulent returns cost U.S. retailers $103 billion in 2024, representing more than 15% of all returns. The fraud rate has risen significantly year over year despite widespread investment in AI detection tools. At those magnitudes, fraud sits in the same financial bucket as legitimate margin compression and is not separately visible on most P&Ls. Boards and investors cannot properly assess profitability risk without understanding how much of the returns cost line is fraudulent and what the trend is. That makes it a financial governance issue, not just a logistics one.
What sustainability regulations are actually binding on U.S. retailers right now regarding returns?
For U.S. retailers operating solely domestically, the most immediate binding requirement is California’s SB 253, which requires companies with over $1 billion in annual revenue doing business in California to disclose Scope 3 emissions beginning in 2027. Reverse logistics falls within the Scope 3 categories that must be reported. For retailers with EU operations or revenue above relevant thresholds, the EU’s Ecodesign for Sustainable Products Regulation bans the destruction of unsold apparel, footwear, and accessories for large companies effective July 2026. France’s AGEC law has already implemented a similar ban since 2022. Retailers selling into the EU who are above the CSRD threshold also face Scope 3 reporting requirements under that directive.
If returns software and better processes already exist, why hasn’t the cost problem been solved?
Because returns management software optimizes the front end of the process — policy enforcement, customer experience, label generation, exchange flows — without changing where returned items go. In virtually every current implementation, returns management systems still route goods back to warehouses or distribution centers. The expensive steps remain: inbound shipping, inspection labor, repackaging, and restocking delays that allow markdown risk to accumulate. Better software makes the existing system faster and more visible. It does not change the underlying cost structure, which is determined by the routing logic, not the policy interface built on top of it.
What questions should a CFO or finance leader be asking about returns that most teams are not currently tracking?
The most important questions are ones that reveal the fully loaded economics rather than averaged operational metrics. These include: What is the cost per return broken down by shipping, labor, markdown, and fraud — not just the blended average? What is the recovery rate of returned inventory, and how does it vary by category? What is the refund cycle time, and how does it affect cash conversion? What share of returns are fraudulent or abusive, and is that share trending up or down? What portion of the returns cost is actually controllable through routing or policy changes, versus inherent to the current model? And what happens to gross margin if the return rate increases by two percentage points? Teams that cannot answer these questions with current data are operating with a significant blind spot.
Written By:
Manish Chowdhary
Manish Chowdhary is the founder and CEO of Cahoot, the most comprehensive post-purchase suite for ecommerce brands. A serial entrepreneur and industry thought leader, Manish has decades of experience building technologies that simplify ecommerce logistics—from order fulfillment to returns. His insights help brands stay ahead of market shifts and operational challenges.
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USPS Price Increase 2026: Why “Temporary” Shipping Costs Don’t Stay Temporary
In this article
12 minutes
- Introduction to USPS Price Increase 2026
- Background
- The USPS Price Increase Is Being Called “Temporary”
- “Temporary” Pricing Is Often Permanent in Disguise
- The Bigger Shift: Shipping Costs Are Becoming Structural
- What This Breaks for Ecommerce Brands
- The Shift From Rate Optimization to Operational Optimization
- Why USPS Matters More Than It Seems
- What Ecommerce Brands Should Do Next
- Expect More “Temporary” Adjustments Ahead
- Frequently Asked Questions
Introduction to USPS Price Increase 2026
USPS is proposing an 8% price increase on key shipping services starting April 2026. While it is being framed as temporary, the underlying signal is much bigger: shipping costs are becoming structurally higher across the industry.
For ecommerce brands, this is not just a pricing update. It is a shift in how logistics works. The strategies that once kept shipping costs under control are becoming less effective, and the consequences are starting to show up in margins.
Background
The United States Postal Service (USPS) has long been a cornerstone of American commerce and communication, providing a nationwide integrated network for the delivery of mail and packages at least six days a week. However, in recent years, the postal service has faced mounting challenges, including rising transportation costs, higher fuel prices, and a steady decline in traditional mail volume. These pressures have made it increasingly difficult for the USPS to fulfill its universal service obligation in a cost-effective and financially sustainable manner.
To support its public service mission—ensuring affordable and reliable delivery of mail and packages to every address in the country—the USPS is seeking a temporary price adjustment. This time-limited price change, pending approval from the Postal Regulatory Commission (PRC), would apply to key competitive products such as Priority Mail, Priority Mail Express, USPS Ground Advantage, and Parcel Select. The adjustment is designed to help offset the impact of rising transportation costs and higher insurance expenses, while maintaining the postal service’s ability to continue achieving its public service goals.
Unlike many competitors who routinely add surcharges or raise prices to reflect fuel costs, the USPS has steadfastly avoided such measures. Instead, it is proposing a temporary price increase as a bridge to a more permanent mechanism that better reflects current market conditions and industry practices. Even with this adjustment, USPS shipping services continue to offer great value, with prices that are often less than one third of what competitors charge for fuel alone.
The proposed price change is not just about covering costs—it is about ensuring the USPS can continue providing a cost-effective and financially sustainable network for the delivery of mail and packages, supporting ecommerce, mail-in ballots, and essential communications across the country. The postal service continues to adapt its pricing structure to meet the needs of its customers and the requirements of its universal service obligation, all while maintaining its commitment to delivering mail and packages at least six days a week.
As the USPS awaits pending approval from the Postal Regulatory Commission, it remains focused on its public service mission, providing a nationwide integrated network that millions of Americans and businesses rely on. The temporary price adjustment is a necessary step to support the postal service’s ability to continue achieving its mission in the face of rising transportation costs and evolving market conditions.
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See AI in ActionThe USPS Price Increase Is Being Called “Temporary”
The U.S. Postal Service has filed for a time-limited 8% increase across services like Priority Mail, Priority Mail Express, USPS Ground Advantage, and Parcel Select, with the price change set to go into effect at midnight Central Time on April 26, 2026, and remain in place until midnight Central Time on January 17, 2027, pending approval from the Postal Regulatory Commission.
This planned price increase will specifically affect base postage prices for Priority Mail Express, Priority Mail, USPS Ground Advantage, and Parcel Select, as well as related mailing services and priority mail prices. Extra service options such as signature confirmation or certified mail may also see adjustments if they are tied to these affected services. No other products or services, including first class, first class mail, and first class stamps, will be impacted by this change.
The price increase is described as a time-limited adjustment to help cover rising transportation costs and is part of a broader plan to achieve financial sustainability and modernize the USPS network. Ecommerce brands using Ground Advantage may face higher operational costs due to these changes.
USPS also made a point to position this move within a broader industry context. Other carriers have already introduced fuel-related surcharges and pricing adjustments, and this change brings USPS closer to that same model.
On the surface, this looks like a temporary correction. In practice, it rarely works that way.
“Temporary” Pricing Is Often Permanent in Disguise
Shipping carriers do not typically introduce large, permanent price increases all at once. Instead, they phase them in under the label of temporary adjustments.
The logic is simple. If the market absorbs the increase without a significant drop in volume, the higher price becomes the new baseline.
USPS is following a pattern that has already been established across the industry. A targeted adjustment is introduced, customer behavior is observed, and over time the pricing structure evolves to reflect what the market is willing to accept.
The Postal Service’s time-limited price change is designed to help cover operational costs and serve as a bridge toward a permanent mechanism to reflect market conditions and operational costs. USPS and other carriers are also considering a different long-term approach to pricing, aiming for a sustainable solution that supports financial stability.
Even in its own announcement, USPS signals this direction. The temporary increase is described as a bridge toward a more durable pricing mechanism that aligns with market conditions.
What appears temporary is often just the first step in a longer transition, highlighting the importance of managing pricing in a manner over the long term to ensure the Postal Service’s ongoing viability.
The Bigger Shift: Shipping Costs Are Becoming Structural
For years, ecommerce brands operated under the assumption that shipping costs could be actively managed through negotiation and tactical decisions. Switching carriers, securing better rates, or leveraging promotional pricing were all viable ways to control expenses.
That assumption is breaking down.
Transportation costs are rising due to a combination of factors, including fuel volatility, labor pressures, and the growing complexity of delivery networks. Rising gas prices and higher insurance costs are major contributors to the increase in transportation expenses. At the same time, carriers are becoming less willing to absorb those costs in order to win business.
Instead, they are passing them through as higher prices.
USPS adopting this approach is particularly important. It has historically served as a lower-cost alternative in the market. When even USPS begins adjusting prices in response to transportation costs, it signals that the entire system is moving in the same direction. USPS still maintains some of the lowest shipping rates in the industrialized world, even after the price increase.
This is not about one carrier raising prices. It is about the cost structure of shipping changing across the board.
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See the 21x DifferenceWhat This Breaks for Ecommerce Brands
As shipping costs become more uniform and less negotiable, some of the traditional levers ecommerce brands relied on begin to lose effectiveness, putting more emphasis on understanding and reducing overall order fulfillment costs.
Rate shopping, for example, becomes less impactful when all carriers are increasing prices in parallel. The differences between providers narrow, and the savings from switching diminish. What used to be a meaningful optimization starts to feel incremental.
The same applies to carrier arbitrage. Moving volume between carriers in search of better pricing becomes harder when each provider is responding to the same underlying cost pressures, which is why many brands compare Cahoot vs. ShipMonk fulfillment solutions to gain structural shipping advantages instead of chasing short-term rate differences.
At the same time, costs that were once secondary become more visible. Shipping from a distant warehouse increases zone distance and drives up transportation expense. Leveraging national fulfillment services with a distributed warehouse network can significantly shorten average shipping distances and reduce these transportation costs. Inefficient routing decisions create unnecessary movement across the network. Returns that require multiple handling steps introduce additional cost layers that are often overlooked.
These are not issues that can be solved at the pricing level. They are embedded in how the operation itself is structured.
The Shift From Rate Optimization to Operational Optimization
As pricing becomes less flexible, the focus shifts away from the label and toward the system behind it.
Instead of asking how to secure a cheaper shipping rate, brands need to look at how shipping costs are generated in the first place. The answer is often found in turning ecommerce order fulfillment into a profit driver through smarter fulfillment decisions rather than carrier contracts.
Inventory placement becomes more important because it determines how far each order needs to travel. Advanced ecommerce shipping software and warehouse automation can optimize routing logic because it dictates which location fulfills each shipment. Service level selection influences whether a package is shipped faster than necessary, adding cost without improving the customer experience.
Consider a simple example. Shipping a package across the country at a discounted rate may still cost more than shipping it locally at a higher nominal rate. The difference is not in the price of the label. It is in the distance the package travels, which is why leveraging nwide fulfillment coverage is so powerful for cost control.
This is where meaningful cost control now lives.
Why USPS Matters More Than It Seems
An 8% increase on its own is not unprecedented. Ecommerce brands have seen similar adjustments before.
What makes this moment different is who is making the move. The post office has long played a crucial role in providing affordable mailing options and supporting a nationwide delivery network, ensuring access to reliable mail and package delivery for all Americans.
USPS has traditionally positioned itself as a stable, affordable option in a market where private carriers frequently adjust pricing. By introducing a transportation-related increase, it is signaling alignment with the same cost-recovery approach used elsewhere in the industry. The postal service’s ability to continue achieving its public service mission depends on maintaining a financially sustainable network that delivers mail and packages at least six days a week. USPS has steadfastly avoided surcharges in the past, but the current price increase is necessary to support the postal service’s mission in light of market conditions.
That reduces the number of pricing alternatives available to merchants. It also reinforces the idea that shipping costs are no longer a competitive differentiator between carriers. The proposed price increase is a time-limited adjustment designed to support the public service’s ability to continue providing reliable delivery and support the postal service’s long-term operational stability. They are a reflection of underlying economic realities.
What Ecommerce Brands Should Do Next
The takeaway is not that shipping costs are uncontrollable. It is that they must be controlled differently.
Brands that continue to focus primarily on negotiating rates will see diminishing returns. The more effective approach is to examine how fulfillment decisions impact cost at a system level.
That means looking closely at where inventory is stored relative to demand, how orders are routed across available locations, and whether service levels align with actual delivery expectations. It also means identifying where unnecessary movement is happening, whether in outbound shipping or returns.
The goal is not to eliminate cost increases. It is to reduce how often those costs are triggered.
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Cut Costs TodayExpect More “Temporary” Adjustments Ahead
USPS is not leading this shift. It is catching up to it.
More temporary adjustments are likely across the industry as carriers continue to respond to changing cost conditions. Some will be tied to fuel, others to capacity or demand, such as peak season surcharges from major carriers or dimensional weight changes like UPS matching FedEx’s DIM weight policy, but the pattern will remain consistent.
Each adjustment will be positioned as temporary. Over time, they will collectively reshape the baseline cost of shipping.
Frequently Asked Questions
What is the USPS price increase in 2026?
USPS plans to implement an 8% price increase for its core package and shipping services, specifically affecting Priority Mail Express, Priority Mail (including priority mail prices), USPS Ground Advantage, and Parcel Select. This price change will go into effect at midnight Central Time on April 26, 2026, and will remain in place until midnight Central Time on January 17, 2027.
No other products or services will be affected by this increase, including First-Class Stamps, First-Class Mail, extra service options such as signature confirmation or certified mail, and other mailing services.
Why is USPS increasing shipping prices?
The primary driver for the USPS price increase 2026 is the escalating cost of transporting mail, largely due to high gas prices. In addition to fuel, higher insurance costs, vehicle maintenance, and logistics expenses have also contributed to higher prices for USPS shipping services. USPS is seeking to offset these increased operational costs through a temporary pricing adjustment.
Are shipping cost increases becoming permanent?
Many temporary adjustments become permanent over time if the market absorbs them, making shipping costs structurally higher. The Postal Service’s time-limited price change is designed to help cover operational costs and serve as a bridge toward a more permanent mechanism to reflect market conditions and operational costs. USPS and other carriers are considering a different long-term approach to pricing to ensure financial sustainability. Additionally, the price of a First-Class Mail Forever stamp is projected to potentially rise to $0.90–$0.95 later in 2026 to address a potential cash shortage.
How does this impact ecommerce businesses?
It reduces the effectiveness of rate shopping and increases the importance of operational efficiency in fulfillment and routing.
What is the best way to reduce shipping costs now?
Focusing on fulfillment strategy, such as inventory placement and order routing, is more effective than relying solely on negotiating lower carrier rates. Pairing this with smart pricing strategies that keep free shipping profitable helps brands protect margins even as carrier rates rise. Brands should not rely solely on carrier negotiations; instead, they should prioritize optimizing their fulfillment strategy and operational efficiency to reduce shipping costs.
Written By:
Rinaldi Juwono
Rinaldi Juwono leads content and SEO strategy at Cahoot, crafting data-driven insights that help ecommerce brands navigate logistics challenges. He works closely with the product, sales, and operations teams to translate Cahoot’s innovations into actionable strategies merchants can use to grow smarter and leaner.
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Is There Still a Warehouse Shortage? What Ecommerce Brands Are Missing
In this article
24 minutes
- Introduction to Warehouse Shortage Challenges
- Causes of Warehouse Shortages
- From Record Scarcity to 1.8 Billion Square Feet of New Supply
- Regional Markets Tell Two Very Different Stories
- Pandemic-Era Leases Have Become Expensive Traps
- Labor Is the Bottleneck That New Space Cannot Solve
- Why Adding Space Does Not Fix Fulfillment Cost Issues
- The Role of Technology in Warehouses
- How Brands Are Rethinking Warehouse Strategy Without New Leases
- Warehouse Management Best Practices
- Conclusion
- Frequently Asked Questions
The national warehouse crunch that paralyzed ecommerce supply chains from 2020 to 2023 has effectively ended. U.S. industrial vacancy rates climbed to 7.1% by Q4 2025, more than double the all-time low of 3.0% set in early 2022, according to Cushman & Wakefield. But this headline number masks a deeper, more stubborn problem: ecommerce brands aren’t struggling because they can’t find warehouse space, they’re struggling because space was never the real bottleneck. Labor shortages, shipping zone economics, rigid lease structures, and exploding last-mile costs now dominate the fulfillment equation. For brands that signed leases during the pandemic frenzy, the market correction has turned their real estate into an anchor rather than an asset.
Introduction to Warehouse Shortage Challenges
The warehouse industry is navigating a complex landscape marked by persistent warehouse space shortages, ongoing labor shortages, and escalating labor costs. These challenges ripple through the entire supply chain, driving up higher operational costs, causing delayed shipments, and ultimately impacting customer satisfaction for every category, from general merchandise to brands that require specialized food grade warehouse fulfillment. As e-commerce continues to fuel demand for rapid order fulfillment, many warehouses and distribution centers are under constant pressure to expand capacity and improve efficiency. However, the competition for warehouse workers is fierce, with companies offering increasingly competitive pay and benefits to attract and retain talent. Despite high demand, many warehouses struggle to maintain adequate staffing levels, leading to operational bottlenecks and increased costs. Effective inventory management and streamlined warehouse operations have become essential for companies seeking to stay competitive in this dynamic industry. The warehouse market is dynamic and evolving, with trends pointing to a growing need for flexibility and cost-effective solutions. The ability to adapt to these challenges is now a key differentiator for businesses operating in the warehouse and logistics sector.
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I'm Interested in Saving Time and MoneyCauses of Warehouse Shortages
Warehouse shortages stem from a combination of interrelated factors that challenge even the most prepared companies. The surge in e-commerce has dramatically increased demand for warehouse space, as businesses race to store more inventory closer to their customers for faster order fulfillment. However, this demand has outpaced the available supply of suitable facilities, especially in key markets. Labor shortages further complicate the situation, as many warehouses rely on temporary labor to fill gaps, which can lead to unpredictable staffing levels and operational inefficiencies. The struggle to retain staff is intensified by the need to offer competitive pay and benefits, as workers are often lured away by better opportunities elsewhere. To address these challenges, companies are increasingly turning to technology solutions such as automated storage and retrieval systems, which help reduce reliance on manual labor and improve efficiency. Staffing agencies also play a vital role in connecting warehouses with skilled personnel, helping to manage operations more effectively. Ultimately, overcoming warehouse shortages requires a multifaceted approach that balances investment in technology, competitive compensation, and strategic workforce management.
In recent years, developers have focused on constructing large warehouses in response to the eCommerce boom, which has contributed to a scarcity of smaller spaces, particularly in urban and suburban areas. This trend is especially pronounced in suburban areas, where land is more expensive and less available, leading to higher rent costs and lower tenant churn for smaller warehouse spaces. As a result, warehouses under 100,000 square feet now have a vacancy rate of just 3.9%, compared to 10.9% for larger warehouses, highlighting the significant shortage of smaller spaces available to lease. Additionally, the average size of new 3PL warehousing needs indicates a clear trend toward smaller footprints, driven by increased demand and attractive pricing dynamics.
From Record Scarcity to 1.8 Billion Square Feet of New Supply
The pandemic triggered an unprecedented warehouse land grab. E-commerce penetration surged, consumers stockpiled goods, and supply chain disruptions forced companies to hold more safety stock. Industrial vacancy plunged from 4.9% in early 2020 to an all-time low of roughly 3.0% in Q1 2022. Rents spiked 16% year-over-year in that same quarter. Developers responded with staggering construction: approximately 1.8 billion square feet of new industrial space was delivered across the U.S. between 2020 and 2025, more than the entire previous decade combined.
The correction arrived in 2023. A record 612 million square feet was delivered that year, more than 80% of it built speculatively, yet net absorption fell to just 295 million square feet. Over half the space built in 2023 remained available for lease at year-end. By 2024, net absorption dropped further to 170.8 million square feet, the lowest since 2011. Construction starts collapsed in response, with the under-construction pipeline falling 60% from its peak to roughly 270 million square feet by mid-2025.
Rent growth reflects this shift. After years of double-digit increases, annual rent growth slowed to 2.8% in 2024 and just 1.5% by Q4 2025, the weakest pace since early 2020. Roughly 40% of U.S. markets posted year-over-year rent declines in 2025, with the West Coast down 4.5% and the Northeast off 3.8%. One-third of markets still saw cumulative rent increases of more than 50% between 2020 and 2025, however, meaning the affordability damage from the boom years is already baked in for brands renewing leases now.
Regional Markets Tell Two Very Different Stories
The national average obscures a widening gap between oversupplied Sun Belt boom markets and stubbornly tight logistics hubs. Ecommerce brands choosing warehouse locations based on headline vacancy data risk landing in exactly the wrong market for their customer base.
Markets with excess space
Dallas-Fort Worth saw vacancy hit 9.2% to 11.6% after absorbing more than 115 million square feet of new deliveries since 2023. Phoenix is even more challenged, with overall vacancy at 10.7% to 11.8% and mid-sized warehouse availability exceeding 20%, a glut that could take three or more years to normalize. Savannah soared from a record-low 0.8% vacancy in 2022 to 10.8% to 11.7% after nearly 50 million square feet of deliveries. Memphis sits at roughly 12.7%, the highest in the South. Pennsylvania’s Lehigh Valley corridor saw Class A vacancy climb past 11% with negative net absorption.
Markets that remain genuinely tight
Chicago holds steady at roughly 4.7% vacancy in Q4 2025, with only 1.1% of inventory under construction and 64% of that pre-leased. Kansas City posted the lowest vacancy among major U.S. markets at 4.8%. Houston held at a healthy 6.1%. These markets absorb space steadily because they sit at the center of the country’s population and freight networks.
The split that matters most for ecommerce
The most critical structural gap is between big-box and small-bay space. Large-format warehouses of 300,000 or more square feet hit 10.6% vacancy at mid-year 2025 before settling to 9.8%, a clear oversupply. But small-bay space under 100,000 square feet, exactly what most mid-market ecommerce brands need, remains pinched at just 4.4% to 4.8% nationally, near pre-pandemic lows. The space that got built during the boom does not match the space most brands actually want. Finding a 20,000 to 80,000 square foot facility in a dense metro is still a real challenge.
Pandemic-Era Leases Have Become Expensive Traps
The typical U.S. industrial lease runs five to seven years, with the largest distribution deals averaging 8.2 years in 2025 according to CBRE. Annual rent escalations, which hovered at 2% to 3% before the pandemic, surged during 2021 and 2022. The share of leases carrying escalations above 3% jumped from 7.8% in 2019 to 39.6% in 2022. Current long-term deals carry an average escalation of 3.5% per year. Early termination penalties, when available at all, typically run six to twelve months of rent, plus unamortized tenant improvements and broker commissions. Most commercial warehouse leases contain no early termination clause whatsoever.
The math is punishing for brands that signed during the boom. Total occupancy costs increased 42.2% since 2019 according to Newmark, driven by rent, operating expenses up 19.6%, and insurance up 45%. CBRE found that rental rates on expiring five-year contracts are 25% higher on average compared to when they were signed. But for brands that locked in near the 2022 peak, current market rents have already fallen below their contracted rate. U.S. logistics rents dropped 4.5% year-over-year in 2025 according to Prologis, meaning those tenants are now paying above-market prices with years remaining on their leases.
Amazon’s experience is the most dramatic cautionary tale. The company doubled its fulfillment network in 24 months, leasing 370 million square feet by end of 2021, twice its pre-pandemic footprint. The overshoot contributed to $10 billion in excess costs in the first half of 2022 alone. Amazon subsequently tried to shed at least 14 million square feet through subleases and pullbacks. Pandemic-era lease terms on these spaces extend into 2030 and beyond.
Over 37% of all U.S. industrial leases expire by 2027, many signed at rates far below current market levels but others at 2021 and 2022 peaks. This looming wave of renewals will force difficult decisions on ecommerce brands: renew at rates that may not reflect where their customers actually are, or eat termination penalties and relocate, often prompting a search for order fulfillment case studies from leading 3PL providers to de-risk the next move.
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Get My Free 3PL RFPLabor Is the Bottleneck That New Space Cannot Solve
Over 370,000 warehouse jobs sat unfilled in early 2025, a 15% increase from a year earlier. A Descartes survey of 1,000 supply chain leaders found 76% face notable labor shortages, with 37% describing conditions as high to extreme. Warehouse operations and transportation suffer the most. The biggest challenge for warehouse operations is the difficulty in hiring and retaining employees due to a highly competitive job market.
Annual turnover in warehousing runs 46% to 49%, roughly 50% higher than the national average for all industries. Amazon’s turnover rate reaches an estimated 150% annually, with 70% of new hires leaving within 90 days. This churn is extraordinarily expensive. High employee turnover is often due to competition for top talent, with employees leaving for better opportunities. The full cost of replacing a single warehouse worker, including separation, vacancy, recruiting, and ongoing training, averages roughly $18,600 per departure according to KPI Solutions. New hires take six to twelve weeks to reach full productivity. Warehouse labor shortages can lead to inefficiencies such as delayed shipments and fulfillment errors. Investing in employee retention strategies, such as competitive wages and ongoing training, is essential to manage labor shortages. Creating safer jobs in warehouses can help improve employee retention and reduce turnover rates.
Competitive pay, recognition, and clear advancement opportunities help transform warehouse and manufacturing roles into long-term careers. Recruiting from diverse backgrounds opens new doors to skilled and dependable talent, supporting talent development and building a more resilient workforce.
Wages have risen sharply but haven’t closed the gap. Amazon’s starting pay climbed to $22 or more per hour in September 2024, with total compensation exceeding $29 per hour. This forced the entire market upward: UPS warehouse workers negotiated starting pay of $21 per hour in their 2023 Teamsters contract, and Target and Walmart distribution centers reportedly match at $22 per hour. Average warehouse staff hourly rates climbed 48% between 2017 and 2024. While higher wages are a common strategy to address the warehouse labor shortage, they are not the sole solution, and hiring remains difficult due to the competitive labor market. Fulfillment costs spike 30% to 40% during peak seasons due to temporary staffing and overtime, with temp agency fill rates reaching only 70% to 80%. Flexible shifts and dynamic staffing pools can help companies manage labor shortages during peak seasons, and utilizing ecommerce order fulfillment services that outclass traditional 3PLs during peak periods can alleviate pressure on warehouse operations.
Deloitte projects the U.S. will need 3.8 million industrial workers over the next decade but faces a potential shortfall of 1.9 million people. Automation offers a partial solution, with 52% of warehouse operators planning investments over the next three years. But high upfront costs and the shortage of skilled technicians to maintain automated storage and retrieval systems mean relief is years away for most mid-market brands. Automation and technology can help warehouses operate with a reduced physical workforce during labor shortages, and investing in automation technologies can improve safety and stabilize labor needs. Investing in robotics, cobots, and predictive analytics reduces repetitive tasks and gives leaders better visibility into labor planning. Implementing robotics and automation technology helps protect warehouse operations by ensuring they can still function, even with a reduced workforce. Modern warehouse management systems can enhance worker morale by providing clear instructions and real-time feedback. Automation can reduce reliance on manual labor while improving inventory control and overall warehouse operations. The global warehouse automation market is projected to grow significantly, indicating a shift towards automated solutions in response to labor shortages. Companies that implement automation report better inventory turnover rates and enhanced customer satisfaction, especially when paired with an order fulfillment service where peer-to-peer beats old 3PLs. Technology and smart automation can reduce repetitive tasks and improve visibility into labor planning.
Modern warehouse management systems guide workers through order processes with clear instructions, touch screens, and real-time feedback, making workers more confident in their roles.
Shortages of qualified warehouse personnel are causing slower loading cycles and reduced efficiency, limiting warehouse capacity. Collaborating with trade schools and workforce programs can help develop future talent for warehouse operations.
Recently, changes in worker availability and preferences have further impacted labor shortages and workplace conditions in the supply chain.
The key operational reality for ecommerce founders is this: you can sign a new warehouse lease tomorrow and still not be able to staff it consistently. The warehouse labor shortage is not a problem that square footage solves.
Why Adding Space Does Not Fix Fulfillment Cost Issues
The most persistent misconception in ecommerce logistics is that warehouse rent drives fulfillment expense. In reality, rent represents just 3% to 6% of total fulfillment cost per order when outbound shipping is included. The dominant cost drivers are labor at 45% to 65% of warehouse operating costs and outbound shipping at 40% to 70% of total fulfillment cost. Last-mile delivery alone accounts for 53% of all shipping costs, averaging $10 per small urban package and up to $50 for large rural deliveries.
Shipping zone economics dwarf any rent savings. A 5-pound package shipped via FedEx Ground costs roughly $11.98 in Zone 2 (under 150 miles) but $18.42 in Zone 8 (over 1,800 miles), a 54% premium. For UPS the gap widens further. A brand shipping 1,000 packages per month primarily to customers in Zones 7 and 8 instead of Zones 2 and 3 faces over $100,000 in additional annual shipping costs. Cross-country shipments cost 40% to 60% more than regional deliveries.
Carrier rate increases compound the problem. UPS and FedEx have implemented 5.9% general rate increases for three consecutive years through 2026, well above the pre-pandemic norm of 3% to 4%. Surcharges for higher zones have jumped even further, and peak-season residential surcharges have climbed over 25%. USPS Parcel Select rates climbed 9.2% in 2024 with further increases planned.
Increased costs for storage and expedited shipping are compressing profit margins, especially for businesses operating with tight margins. Overcrowded warehouses can also lead to lower productivity and increased safety risks.
The implication is direct. A brand operating from a single West Coast warehouse reaches two-day ground delivery for only a sliver of the U.S. population. Adding a second warehouse doesn’t just reduce rent per order, it fundamentally restructures the shipping cost equation. Two strategically located fulfillment centers, for example Knoxville and Salt Lake City, can reach 96% of U.S. households within two days via ground shipping. Four nodes can provide one to two day delivery to 99.97% of the continental U.S. while cutting shipping costs 15% to 25%. That is a real savings number. A lease in a cheap Sun Belt market with 11% vacancy does not produce anything close to that.
The Role of Technology in Warehouses
Technology is rapidly reshaping how warehouses operate, offering powerful tools to optimize logistics operations, streamline inventory management, and reduce labor costs. Automated storage and retrieval systems are becoming standard in many warehouses, minimizing the need for manual labor and significantly improving accuracy and speed in inventory flow. These systems not only enhance productivity but also help mitigate the risks associated with labor shortages and high turnover. Advanced inventory management software enables companies to track stock levels in real time, optimize storage, and ensure efficient order processing. Data analytics and artificial intelligence are increasingly used to forecast demand, identify operational bottlenecks, and inform strategic decisions across the supply chain, including whether to rely on traditional 3PLs or a peer-to-peer fulfillment network versus 3PL. By embracing these technological advancements, companies can achieve greater efficiency, reduce operational costs, and position themselves for sustainable growth in a highly competitive market.
Innovation—through advancements like artificial intelligence, robotics, and shared logistics platforms—serves as a strategic driver for resilience, operational efficiency, and future growth in logistics.
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Explore Fulfillment NetworkHow Brands Are Rethinking Warehouse Strategy Without New Leases
The rise of fractionalized space and spot warehousing is a direct response to the growing demand for flexible, attractively priced alternatives to traditional long-term leases. Flexible warehousing offers significant opportunities for optimization and enables companies to respond quickly to both short-term disruptions and long-term growth opportunities.
Rather than signing new leases, ecommerce brands are increasingly turning to asset-light fulfillment models. For many, this involves shifting from an in-house warehouse to a 3PL. The numbers suggest this is a structural shift, not a temporary workaround.
Third-party logistics networks
3PLs now handle fulfillment for 60% of ecommerce brands at least partially, with 37% fully outsourcing. The U.S. 3PL market reached $308 billion in 2024 and is projected to nearly double by 2033. For brands shipping under 1,000 orders per month, 3PLs typically cost 20% to 40% less than self-fulfillment thanks to negotiated carrier rates and shared infrastructure, and many sellers rely on top Amazon 3PL shipping companies for reliable fulfillment to capture these advantages. Third party logistics providers play a crucial role in managing inventories, distribution, and fulfillment, especially as the industry faces staffing challenges and market fluctuations. The average size of new 3PL warehousing needs indicates a trend toward smaller footprints.
The strategic advantage is not just cost, it is placement. A 3PL network with nodes in Chicago, Dallas, Atlanta, and Los Angeles reaches the entire U.S. population more efficiently than any single owned or leased facility, and brands evaluating partners should consider providers that support Amazon SFP-focused 3PL fulfillment services and follow a structured approach to choose the right 3PL company.
On-demand and flex warehousing
On-demand warehousing is projected to reach $26.2 billion by 2030 at a 15.3% annual growth rate. Platforms in this space operate networks of thousands of warehouse locations and can stand up new distribution capacity in two to four weeks versus three to nine months for traditional lease implementations. Pricing is consumption-based rather than fixed-lease, converting a long-term capital obligation into a variable operating expense. This model is particularly effective for managing peak season demand without the permanent overhead of excess space and is increasingly attractive for brands evaluating alternatives to traditional 3PL ecommerce fulfillment.
Shared and co-warehousing
Shared warehouse concepts provide small to midsize brands with month-to-month space, shared equipment, and fulfillment services at a fraction of dedicated facility costs. Marketplace sellers reduce warehouse fees an estimated 20% to 30% through shared infrastructure. These arrangements also sidestep the warehouse labor shortage problem, since staffing is handled by the operator, not the brand, making them especially compelling when paired with the best 3PL options for small businesses or a top 3PL for Amazon Seller Fulfilled Prime.
Distributed inventory as a competitive strategy
The brands gaining ground are not chasing the cheapest lease in an oversupplied Sun Belt market. They are reframing the question entirely, moving from “where can we find warehouse space?” to “where do our customers live, and how do we reach them in two days at the lowest total cost?” Analyzing order data by zip code and overlaying it against carrier zone maps reveals, in most cases, that the optimal warehouse footprint looks nothing like the single-facility model most brands start with. That analysis costs nothing, and when layered with a clear understanding of 3PL costs for ecommerce fulfillment, it becomes a powerful decision framework. Committing to the wrong lease costs years.
Warehouse Management Best Practices
Effective warehouse management is the cornerstone of a successful warehouse or distribution center. Implementing best practices such as ongoing training for staff ensures that the workforce remains skilled and adaptable to new technologies and processes. Optimizing inventory management is crucial for maintaining accurate stock levels, reducing excess inventory, and improving order accuracy. Leveraging technology to automate routine tasks and streamline operations can lead to significant gains in productivity and efficiency. Retaining staff through competitive pay and comprehensive benefits is essential, as a stable and experienced workforce directly contributes to operational excellence. Additionally, maintaining a safe and healthy work environment, managing equipment maintenance, and controlling transportation costs are all critical components of effective warehouse management, especially for retailers scaling on platforms like Shopify who must follow a guide to choosing the right Shopify order fulfillment option and choose the best 3PL for their store. By focusing on these areas, companies can reduce operational costs, improve lead times, and drive growth, ensuring their warehouses remain agile and responsive to market demands.
Conclusion
In summary, warehouses and distribution centers are facing a host of challenges, from labor shortages and warehouse space constraints to rising labor costs and evolving supply chain demands. To remain competitive, companies must invest in technology, prioritize staff retention, and implement robust inventory management and logistics operations. Adopting best practices and leveraging technological innovations can significantly enhance productivity, efficiency, and growth while keeping operational costs in check. The warehouse industry is in a state of constant evolution, requiring businesses to stay agile and responsive to shifts in market conditions and customer expectations. As e-commerce continues to drive demand for faster and more reliable fulfillment, optimizing warehouse operations and investing in skilled personnel will be key to long-term success. By proactively addressing these challenges, companies can position themselves at the forefront of the industry, ready to capitalize on new opportunities and navigate the complexities of the modern supply chain.
Frequently Asked Questions
Is there still a warehouse shortage in the United States?
No, not in the broad sense. National industrial vacancy reached approximately 7.1% by late 2025, more than double the historic low of 3.0% set in early 2022. Big-box space in markets like Dallas-Fort Worth, Phoenix, and Memphis is in clear oversupply. However, small-bay space under 100,000 square feet remains tight at 4.4% to 4.8% nationally, and several major logistics hubs including Chicago and Kansas City continue to see healthy demand with limited availability.
Why are ecommerce fulfillment costs still rising if warehouse space is more available?
Warehouse rent represents only 3% to 6% of total fulfillment cost per order. The dominant cost drivers are labor, which accounts for 45% to 65% of warehouse operating costs, and outbound shipping, which can represent 40% to 70% of total cost. Both have increased substantially. Carrier general rate increases of 5.9% per year through 2026, combined with surcharge escalation and the warehouse labor shortage, are pushing total fulfillment costs higher regardless of what is happening to lease rates.
What is the real constraint on warehouse operations today?
For most ecommerce brands, labor availability is the primary operational constraint. Over 370,000 warehouse jobs were unfilled in early 2025. Annual turnover runs 46% to 49% industry-wide, driving constant recruiting, training, and productivity losses. The cost of replacing a single warehouse worker averages roughly $18,600. A brand can sign a new lease in a market with plenty of available space and still struggle to staff it reliably.
How does warehouse location affect shipping costs?
Significantly. Carrier pricing is structured around shipping zones based on the distance between the origin warehouse and the delivery destination. A 5-pound package shipped via FedEx Ground from Zone 2 costs roughly 54% less than the same package shipped from Zone 8. A brand with its only warehouse on the West Coast will ship the majority of U.S. orders at Zone 5 through Zone 8 rates, paying substantially more per package than a brand with strategically placed nodes in the central U.S. For most ecommerce brands shipping 500 or more orders per month, this zone cost difference far exceeds any savings achievable through cheaper rent.
What is a shipping zone and why does it matter for order fulfillment?
Shipping zones are geographic bands that major carriers use to calculate delivery costs based on distance from the origin point. Zone 1 is the closest (under 50 miles) and Zone 8 is the farthest (over 1,800 miles). Every carrier, including UPS, FedEx, and USPS, applies higher rates to higher zones. Brands with inventory located far from their customers’ geographic concentration pay more per shipment on every single order, which compounds significantly at scale.
Should ecommerce brands sign warehouse leases in oversupplied markets to save on rent?
Not without running the full fulfillment cost model first. Cheap rent in an oversupplied market like Phoenix or Memphis may look attractive, but if that location results in a higher average shipping zone for your customer base, the shipping cost increase will likely exceed the rent savings by a wide margin. Labor availability in those markets is also not guaranteed to be better. The correct decision framework starts with analyzing where your customers are located, then working backward to the optimal warehouse placement, then evaluating what lease or third-party fulfillment arrangement makes sense in those locations.
What alternatives exist to signing a traditional warehouse lease?
The main alternatives are third-party logistics networks, which handle space and labor under a pay-per-order or storage-plus-fulfillment model; on-demand warehousing platforms, which offer consumption-based space access without multi-year commitments; and shared or co-warehousing arrangements, which provide month-to-month access to shared facilities and staff. Each removes the fixed-cost structure and long-term obligation of a direct lease, while offering faster setup and the ability to shift nodes as demand patterns change, which is especially important for channels like Wayfair that benefit from the best 3PL for Wayfair order fulfillment.
How long is a typical warehouse lease and what does early termination cost?
Most U.S. industrial leases run five to seven years. Large distribution center deals average 8.2 years. Early termination clauses are not standard, and when they do exist they typically require a penalty of six to twelve months of rent plus reimbursement of unamortized tenant improvements. Many leases offer no early exit at all, meaning brands that sign in the wrong location are effectively committed for the full term. This rigidity is one of the primary reasons asset-light fulfillment models have grown so rapidly among mid-market ecommerce brands.
Written By:
Rinaldi Juwono
Rinaldi Juwono leads content and SEO strategy at Cahoot, crafting data-driven insights that help ecommerce brands navigate logistics challenges. He works closely with the product, sales, and operations teams to translate Cahoot’s innovations into actionable strategies merchants can use to grow smarter and leaner.
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What Happens When Amazon Overrides Your Return Policy?
In this article
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Introduction
You set your return policy. Amazon refunds the customer anyway, often because the company manages customer expectations by making returns easy and hassle-free.
Amazon’s return policy is designed to meet customer expectations, even if it means overriding seller preferences to ensure a positive shopping experience.
This is not a rare exception. It is a structural reality of selling on Amazon. The company prioritizes customer experience and speed over seller-defined rules, which means your return policy is not always enforced the way you expect. For sellers, this creates hidden cost leakage, operational uncertainty, and a loss of control that directly impacts margins.
When Amazon Overrides Your Return Policy
Amazon can override your return policy through a combination of automated systems and manual intervention.
Automatic return authorization is the most common path. If a return request falls within Amazon’s broader return framework, it can be approved instantly with a prepaid return label, regardless of your own conditions. In these cases, the seller is charged a fee for the returned item, specifically when the return is due to buyer fault, and this applies even for seller fulfilled orders.
Customer service intervention is another trigger. For seller fulfilled orders, including Seller Fulfilled Prime, Amazon customer support can issue refunds directly when response time requirements are not met. The goal is to resolve customer issues quickly, not to enforce seller-specific rules.
There is also automated refund enforcement. If a seller does not resolve a return request within the required window, Amazon may issue a returnless refund. In these cases, the customer keeps the product and receives a refund, and the seller absorbs the loss, consistent with Amazon’s broader marketplace returns policy framework.
Refund at First Scan adds another layer. In this system, a refund can be issued as soon as the returned item is shipped and scanned by the carrier, before the seller receives or inspects the item, similar in spirit to other instant-refund, drop-off-centric services like Happy Returns reverse logistics solutions.
Each of these mechanisms is designed for speed and consistency at scale. None of them are designed to preserve seller-level control.
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See How It WorksWhy Amazon Does This
Amazon is not trying to enforce your return policy. It is trying to optimize customer behavior, especially how shoppers respond to its policies.
The platform is built around a simple priority stack. Fast refunds increase customer trust. Higher trust drives more purchases. More purchases increase overall transaction volume, and each sale or purchase triggers Amazon’s return policy processes and related procedures.
From Amazon’s perspective, the cost of occasional seller losses is outweighed by the long-term value of customer retention and repeat buying, even as the broader ecommerce industry is rethinking whether free returns are sustainable.
This creates a structural conflict. Sellers think in terms of margin protection and policy enforcement. Amazon thinks in terms of customer lifetime value and frictionless experience, even when that means flagging products with a “Frequently Returned Item” badge to steer customer expectations and behavior.
When those priorities collide, the platform wins. This means customers benefit from easier returns, faster refunds, and a more convenient shopping experience.
The Hidden Cost of Losing Control
The impact of return policy overrides is not always obvious at first. It shows up in small, repeated losses that compound over time.
Return shipping costs are one example. Even for buyer fault returns such as “no longer needed,” sellers are often charged for prepaid return labels. Sellers are typically responsible for a return shipping fee, which directly impacts their payments and reduces the overall money they receive and underscores the need to understand how different types of return shipping labels work. This becomes especially painful for heavy or oversized products where return shipping can approach the value of the item itself.
Out-of-policy returns are another issue. Sellers report cases where returns are accepted outside the stated return window or for reasons that do not match the original request. This undermines the predictability of return operations.
Refund timing also creates risk. When refunds are issued before inspection, sellers lose the ability to verify item condition. If the returned item is damaged, used, or missing parts, sellers may only receive a partial refund, as Amazon may deduct a damage fee or other charges from the money refunded.
There is also fraud exposure. Some buyers learn how to navigate return reasons or claim non-delivery, knowing that the system often resolves in their favor, which can result in sellers having lost money due to system abuse and broader patterns of returns fraud and refund fraud.
Individually, these issues may seem manageable. Collectively, they erode margin, increase operational overhead, and make returns difficult to control at scale, which is why it’s critical for sellers to analyze their FBA return patterns and reasons. There are exceptions to standard return procedures, but these are rare and often require additional action from the seller.
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I'm Interested in Peer-to-Peer ReturnsSAFE-T Claims and A-to-Z Claims Are Not Real Protection
Amazon provides mechanisms like SAFE-T claims and A-to-Z Guarantee claims to address issues. On paper, these look like protection systems. In practice, they are reactive and limited.
SAFE-T claims allow sellers to request reimbursement for situations such as damaged returns, wrong items, or Amazon-initiated refunds. Only certain cases are eligible for a SAFE-T claim, such as when the returned item is damaged or does not match the original shipment. However, they can only be filed after the refund is completed and the seller account has already been debited.
The burden of proof is high. Sellers must provide detailed documentation including tracking, photos, and customer communication, and it is important to mention specific reasons or reference relevant Amazon policies when filing a claim. Even with documentation, approval is not guaranteed.
A-to-Z claims operate on a strict timeline. Sellers typically have 48 to 72 hours to respond. If they miss that window or fail to provide sufficient evidence, the claim is granted in favor of the customer.
Appeals are possible, but they require new supporting information and must be submitted within a defined period. There are exceptions to the standard process, but these are rare and usually require additional action or evidence, which is why some high-priced, high-return ASINs are being funneled into programs like Amazon’s invite-only FBA Return Expert Service to address return issues upstream.
The key limitation is that both systems are reactive. They do not prevent losses. They attempt to recover them after the fact, often with inconsistent outcomes.
What Sellers Can Actually Do
There is no way to fully prevent Amazon from overriding your return policy. That decision layer belongs to the platform, not the merchant. The only real lever sellers have is how they operate within that constraint.
The first shift is speed. Many overrides are not arbitrary. They are triggered when sellers miss response windows. A delayed reply is often treated as no reply at all, which activates Amazon’s automated systems. In practice, this means operational responsiveness is not just good customer service, it is loss prevention.
The second is documentation. Returns on Amazon are not judged on intent, they are judged on evidence. Tracking data, delivery confirmation, product condition photos, and customer communication all need to be captured and retrievable. When a dispute happens, the seller who can produce clean, structured documentation has a higher chance of recovering losses, even if the process is imperfect. Under Amazon’s normal return policy, most items must be returned in original or unused condition to be eligible for a full refund.
The third is accepting that return leakage is not an exception. It is part of the model. If refunds can be issued before inspection and return shipping costs are often unavoidable, then these costs need to be priced into the business. Treating them as one-off issues leads to margin erosion that compounds over time.
Product strategy also becomes more important. Categories with high return rates or expensive reverse logistics will feel the impact of these policies more acutely, especially where customer “bracketing” and other behaviors drive up volumes and demand a more carefully crafted e-commerce returns program. What works on a controlled DTC channel may behave very differently on a marketplace where the seller does not control the return process. Completing returns is designed to be convenient for customers, especially since Amazon emphasizes a simple and hassle-free process for most items, provided they are in original or unused condition.
Finally, there is the question of dependency. When a business relies entirely on one platform, it inherits that platform’s rules without leverage. Diversifying channels does not eliminate the problem, but it reduces exposure to any single system’s decisions and may justify investing in separate tools such as Shopify-focused return management platforms like Return Prime.
None of these are perfect solutions. They are operational adaptations to a system where control is fundamentally limited.
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Learn About Sustainable ReturnsThe Bigger Shift: Returns Are No Longer a Policy Problem
The real issue is not that Amazon overrides return policies. It is that sellers believe they are in control of returns in the first place.
On large marketplaces, returns are not governed by seller-defined rules. They are governed by platform-level systems designed to optimize for customer experience, speed, and trust. Your policy exists, but it operates within a system that can supersede it at any time.
This changes how returns should be understood. It is not a policy problem that can be solved with stricter wording or tighter conditions. It is a system design problem. When the system is built to favor fast refunds and low friction, then verification and cost control become secondary by design.
That is why losses feel inconsistent. It is not because the rules are unclear. It is because the rules are not the final authority.
The more useful question is not how to enforce your return policy more strictly. It is how to operate profitably inside a system where enforcement is conditional, and sometimes optional.
During the holiday season, items purchased may be eligible for an extended return window, offering customers more flexibility for returns. However, certain exceptions apply—apple branded products often have a shorter return window and specific eligibility criteria, so it’s important to check product details before purchase. Additionally, products that present safety risks may not be eligible for return or could require special handling, further limiting standard return options.
Once you see returns through that lens, the strategy shifts. You stop trying to control the outcome of each return, and start designing your business to absorb and manage the outcomes the system produces.
Frequently Asked Questions
What is an Amazon return policy override?
An Amazon return policy override occurs when Amazon approves a return or issues a refund that does not align with the seller’s defined return terms, effectively bypassing the standard Amazon return policy, often through automation or customer service intervention.
Can Amazon override my return policy as a seller?
Yes, Amazon can override seller return policies through automatic return authorization, customer service actions, or enforcement mechanisms when response timelines are not met, and this applies to seller fulfilled orders as well.
What is Refund at First Scan?
Refund at First Scan is a process where Amazon issues a refund to the customer as soon as the return shipment is shipped and scanned by the carrier, before the seller receives or inspects the item.
What is a SAFE-T claim and when should I use it?
A SAFE-T claim is a reimbursement request sellers can file when they incur losses due to issues like damaged returns, incorrect items, or Amazon-issued refunds. Only situations that are eligible for a SAFE-T claim include cases where the return meets Amazon’s criteria, such as the item being returned in a different condition, missing parts, or when the refund was issued incorrectly by Amazon. It is used after the refund has already been processed.
Why does Amazon refund customers before returns are inspected?
Amazon prioritizes speed and customer experience. Issuing refunds quickly increases customer trust and repeat purchases, even if it creates risk for sellers. This process is designed to make returns more convenient for customers, ensuring a hassle-free experience.
How can sellers reduce losses from Amazon return policy overrides?
Sellers can reduce losses by responding quickly to return requests, maintaining strong documentation, adjusting pricing to account for return costs, and diversifying sales channels.
Written By:
Rinaldi Juwono
Rinaldi Juwono leads content and SEO strategy at Cahoot, crafting data-driven insights that help ecommerce brands navigate logistics challenges. He works closely with the product, sales, and operations teams to translate Cahoot’s innovations into actionable strategies merchants can use to grow smarter and leaner.
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China Tariff Refunds in 2026: What’s Real, What’s Not, and What to Do Next
In this article
11 minutes
- Introduction
- What Actually Happened With IEEPA Tariffs
- The Biggest Misunderstanding: Not All China Tariffs Are Included
- Who Actually Gets the Refund
- Refund Process and Guidance
- Court Proceedings and Litigation
- What Ecommerce Brands Need to Do Right Now
- Why Most Brands Will Still Miss This Opportunity
- Practical Examples
- What This Means for Ecommerce Operators
- Frequently Asked Questions
Introduction
China tariff refunds are dominating ecommerce conversations right now, but most of what is being shared is incomplete or misleading. The reality is that refunds are possible in some cases, but only for specific tariffs, specific importers, and only if the right steps are taken quickly.
Most ecommerce brands will not miss this opportunity because they were unaware of it. They will miss it because they misunderstand eligibility, assume refunds are automatic, or lack the data needed to prove their claim.
What Actually Happened With IEEPA Tariffs
The current refund conversation stems from a Supreme Court decision that struck down certain tariffs imposed under the International Emergency Economic Powers Act (IEEPA) by the Trump administration. The Supreme Court ruled that the IEEPA does not provide the legal authority for the president to impose tariffs, invalidating the IEEPA tariffs.
As a result, U.S. Customs and Border Protection has been directed to begin building a process to issue tariff refunds on those IEEPA tariffs. The Supreme Court’s ruling allows all importers of record whose entries were subject to IEEPA duties to claim refunds.
However, that process is still being developed. The Supreme Court’s decision did not affect other tariffs such as Section 232 tariffs and Section 301 tariffs, which remain in effect.
At the time of writing, the refund system is not fully operational. The government has proposed a timeline to get systems ready, but that timeline is not guaranteed and may change as implementation progresses. The federal government has collected over $130 billion in tariffs through IEEPA and could ultimately pay refunds worth $175 billion. The Supreme Court’s ruling was a setback for the Trump administration, which had sought to maintain the tariffs. The decision invalidated the legal foundation for the IEEPA tariffs but did not specify a mechanism or timeline for issuing refunds.
This is not a situation where refunds are already flowing cleanly. The Supreme Court’s ruling offers guidance for the tariff refund process but leaves some operational questions unresolved. It is a developing process that will likely involve delays, reconciliation issues, and continued legal complexity.
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See AI in ActionThe Biggest Misunderstanding: Not All China Tariffs Are Included
The most common mistake is assuming that all China tariffs are eligible for refunds.
They are not.
Only tariffs imposed under IEEPA are affected by the ruling.
That means:
- IEEPA-based tariffs may be refundable
- Section 301 tariffs are not part of this ruling
- Section 232 tariffs are not part of this ruling
The refund process for IEEPA tariffs requires importers to identify which HTS Chapter 99 classifications are subject to IEEPA duties versus other tariffs. Only entries subject to IEEPA-related tariffs are eligible for refunds, while those subject to antidumping, countervailing, or other orders are excluded.
For ecommerce brands importing from China, this distinction is critical. Most of the long-standing China tariffs that operators are familiar with fall under Section 301, which is unaffected by the current ruling.
If you do not identify which tariff authority applied to your imports, you cannot determine eligibility.
Who Actually Gets the Refund
Another major source of confusion is who receives the refund.
Refunds are issued to the importer of record, not to sellers as a category. The importer of record (IOR) is the entity that receives the IEEPA tariff refund from Customs and Border Protection (CBP), and CBP will issue refunds to the IOR listed on the entry.
In many ecommerce setups, the seller is not the importer of record.
Common scenarios include:
- A supplier or trading company acting as importer
- A logistics provider or customs broker filing under a different entity
- Marketplace-driven import structures
In these cases, even if the seller ultimately paid for the goods, they may not be the party eligible to receive the refund directly.
Before taking any action, brands need to confirm:
- Which entity is listed as importer of record on the entry
- Whether that entity is controlled by the brand
Importers of record whose entries were subject to IEEPA duties are entitled to refunds following the Supreme Court’s ruling. Without this clarity, refund expectations can be completely misaligned with reality.
Refund Process and Guidance
The refund process for IEEPA tariffs is anything but automatic. Following the Supreme Court’s ruling that struck down certain IEEPA tariffs, the federal government has committed to issuing refunds to eligible importers, but the path to actually receiving those funds requires careful preparation and proactive steps.
Importers who paid IEEPA tariffs must file claims with the Court of International Trade (CIT) to initiate the refund process. Treasury Secretary Scott Bessent has stated that the government will release detailed guidance, but waiting for official instructions could mean missing critical deadlines. Instead, importers should begin assembling all necessary documentation now—this includes entry summaries, commercial invoices, and proof of payment for the IEEPA duties.
The Automated Commercial Environment (ACE) will be the primary platform for submitting and tracking refund claims. Importers should ensure they have active ACE accounts and are familiar with its processes, as this system will be central to managing the refund workflow. Staying organized and having digital access to all relevant records will streamline the process and reduce the risk of delays.
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See the 21x DifferenceCourt Proceedings and Litigation
The legal landscape surrounding IEEPA tariff refunds is evolving rapidly, with the Court of International Trade (CIT) at the center of the action. Judge Richard Eaton’s recent ruling has compelled the federal government to issue refunds to importers who paid IEEPA tariffs, setting a significant precedent for international trade litigation.
Importers who have already filed suit with the CIT are first in line to recover their IEEPA duties. The court’s decision not only opens the door for thousands of refund claims but also clarifies that the Trump administration’s authority to impose tariffs under the International Emergency Economic Powers Act (IEEPA) is now limited by the Supreme Court’s ruling. While the administration has announced intentions to impose new tariffs under the Trade Act, these may also face legal challenges, adding another layer of complexity for businesses engaged in international trade.
For importers, this means that legal strategy is as important as operational readiness. Consulting with experienced trade attorneys is essential to understand eligibility for IEEPA refund claims, navigate the refund process, and stay compliant with evolving regulations, much like retailers must proactively address returns fraud and refund fraud risks to protect margins. The CIT will continue to be the primary venue for resolving disputes related to IEEPA tariffs, and staying informed about ongoing court proceedings is critical.
What Ecommerce Brands Need to Do Right Now
The brands that benefit from this situation will not be the ones reacting later. They will be the ones that organize their data and verify eligibility now.
Start by getting clarity on your import records. Pull your entry summaries, typically CBP Form 7501, and review how duties were assessed across shipments. This is the foundation for everything that follows. Importers should set up an ACE portal account to access their customs data for the IEEPA refund process.
From there, validate the key variables that determine eligibility:
- Identify the tariff type applied to each entry and confirm whether duties were assessed under IEEPA or another authority
- Confirm the importer of record and ensure you know which entity actually paid the duties
- Check the status of each entry to determine whether it has been liquidated and whether administrative actions are still possible
Once eligibility is understood, shift to execution readiness:
- Ensure ACH enrollment is in place so refunds can be received electronically without payment issues
- Prepare duty refund calculations using the dates when IEEPA tariffs were paid
- Coordinate with your customs broker, who will handle filings, corrections, and reconciliation as the process unfolds
This is not a passive process. It requires active verification and coordination across systems, partners, and internal teams, similar to the diligence required to detect and prevent ecommerce returns fraud that can quietly erode profitability. The tariff refund process requires organized documentation and adherence to specific deadlines, and submitting a refund request will trigger a review by CBP, which may include scrutiny of classification, valuation, or compliance issues.
Why Most Brands Will Still Miss This Opportunity
Even with widespread awareness, most ecommerce brands will not successfully recover tariff refunds.
The problem is not awareness. It is execution, particularly when it comes to building a structured, data-driven ecommerce returns program that supports these complex processes.
The first issue is data fragmentation. Import records sit with brokers, inventory data sits in ecommerce platforms, and financial records sit in accounting systems. Without connecting these, it is difficult to validate what was paid and what may be refundable.
The second issue is ownership. Many teams assume someone else is handling it. Operations assumes finance owns it. Finance assumes the broker is handling it. In reality, no one is actively driving the process.
The third issue is incorrect assumptions. Brands assume that importing from China automatically makes them eligible. They assume refunds will be issued automatically. They assume marketplaces or logistics partners will handle everything.
All of these assumptions are wrong.
Refund eligibility is specific. Documentation requirements are strict. Execution windows matter.
Practical Examples
Consider a brand importing goods from China through a third-party supplier that acts as importer of record.
In this case, even if the brand paid for the goods, the supplier may be the entity eligible for the refund. The brand would need to coordinate directly with that supplier to recover any funds. Importers of Chinese goods face complications in the IEEPA tariff refund process that importers from other countries do not encounter, much like global brands must navigate added complexity when implementing cross-border returns management solutions such as ZigZag.
Another example is a brand that imports under its own entity but does not maintain clean entry records. Even if eligible, the lack of organized documentation slows down or prevents reconciliation when refunds are issued, just as poor systems can limit the value of a dedicated Shopify-focused returns platform like Return Prime.
A third example is a brand that assumes all China tariffs qualify. After reviewing their entries, they discover that most duties were assessed under Section 301, which is not affected by the current ruling.
In each case, the limiting factor is not awareness of the refund. It is the ability to verify and act on the details. The same is true for building an exceptional ecommerce returns program that turns operational complexity into a loyalty advantage. Many companies, including those importing from China, have faced unique challenges in pursuing tariff refunds compared to importers from other countries.
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Cut Costs TodayWhat This Means for Ecommerce Operators
This situation highlights a broader operational reality. Financial outcomes in ecommerce are increasingly tied to data visibility and system control, not just top-line growth, whether you are tracking tariff payments or optimizing core workflows like return shipping labels and processing.
The Supreme Court’s ruling invalidated the IEEPA tariffs, which fundamentally changed the economics of importing from China for many businesses, just as evolving return and refund practices — including exposure to ecommerce return and refund fraud — have reshaped the broader economics of online retail.
Tariffs, shipping costs, free returns and their true cost, and fulfillment decisions all depend on understanding how products move through your system and how costs are applied at each step. When that visibility is missing, opportunities like tariff refunds become difficult to capture because you cannot confidently verify what was paid or what qualifies. Recovering tariff refunds can have a significant impact on a business’s cash flow, and understanding where the money is credited is essential for financial planning.
On the other hand, when that visibility exists, operators can move quickly, validate claims, and recover value that others leave behind. The difference is not awareness. It is the ability to connect data across systems and act on it with confidence.
This is not just about one refund event. It is a reflection of how well your operation is structured to respond to change, whether that change comes from tariffs, carrier pricing, or shifts in returns behavior.
Frequently Asked Questions
Are all China tariffs eligible for refunds right now?
No. Only tariffs imposed under IEEPA are affected by the current ruling. Section 301 and Section 232 tariffs are not included.
Do Amazon sellers automatically qualify for tariff refunds?
No. Refunds are issued to the importer of record. Many sellers are not the importer of record and may not receive refunds directly.
Are tariff refunds being issued already?
The refund process is still being developed. While refunds are expected, the system is not fully operational and timelines may change.
Does registering for ACH guarantee faster refunds?
No. ACH enrollment helps ensure funds are received electronically, but it does not determine eligibility or guarantee faster payment.
What is the first step I should take?
Start by pulling your entry summaries, identifying the tariff type applied, and confirming your importer of record.
Written By:
Rinaldi Juwono
Rinaldi Juwono leads content and SEO strategy at Cahoot, crafting data-driven insights that help ecommerce brands navigate logistics challenges. He works closely with the product, sales, and operations teams to translate Cahoot’s innovations into actionable strategies merchants can use to grow smarter and leaner.
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Why Returns Software Doesn’t Actually Fix Returns
In this article
18 minutes
- What Returns Management Software Actually Does Well
- Understanding the Returns Process
- The Warehouse Loop Doesn't Move
- Visibility Does Not Equal Recovery
- The Illusion of Efficiency
- Scale Is Not the Answer Either
- Sustainability and Regulation Are Changing the Stakes
- The Failure Is Architectural
- Frequently Asked Questions
Returns management software has never been better — and yet the cost of returns has never been higher. U.S. retail returns hit $890 billion in 2024, and most of the brands experiencing that pressure are already running some form of returns management platform. That’s not a coincidence. It’s a design problem.
This article is not an argument against returns software. RMS platforms do real, measurable things. However, many companies still struggle with the complexities of managing returns, even with software in place. But there is a specific and important limit to what they can accomplish — and that limit is architectural, not operational. Understanding it matters for any ecommerce operator currently evaluating returns technology, and for any operations leader wondering why their returns costs aren’t coming down despite better tooling.
What Returns Management Software Actually Does Well
To be fair about the limitations, you have to start with what RMS platforms genuinely deliver. The category has matured substantially, and the leading platforms have built credible, useful products. In the context of ecommerce returns, modern returns management software offers several key features:
- Branded self-serve return portals that reduce inbound support volume
- Policy automation that enforces eligibility rules, return windows, and item conditions without manual review
- Automated returns capabilities that enable efficient post-purchase workflows, real-time tracking, and improved customer satisfaction
- Exchange flows that redirect customers toward swaps rather than refunds, retaining revenue in the process
- Return reason analytics that surface product and sizing patterns over time
- Label generation — QR-based, printless, or traditional — that streamlines the customer-facing experience
- Customer communication flows that keep buyers informed through each stage of the return
These key features enable the software to efficiently handle product returns, exchanges, and refunds, streamlining the entire process for both businesses and customers.
These are real improvements. Brands running manual returns processes or using basic carrier tools feel the difference immediately when they deploy a proper returns management system. Most customers now expect and prefer self-service, online return processes, making these solutions essential for meeting customer expectations. Certain functionalities, such as automated returns and branded portals, are must-have tools for effective returns management. Customer satisfaction scores tend to go up. Support ticket volume tends to go down. Refund processing becomes more consistent.
When it comes to customization or integration, many platforms allow businesses to create custom APIs or integrations with third-party ecommerce platforms, ensuring seamless automation and data flow.
Companies can implement returns management software quickly, adapting it to their specific workflows and requirements.
The benefits of using returns management software include significant time savings, improved customer experience, and greater operational efficiency.
The problem starts when operators assume that operational improvement translates into economic improvement. It frequently does not.
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See How It WorksUnderstanding the Returns Process
The returns process is a cornerstone of successful ecommerce, directly shaping customer satisfaction and long-term loyalty. For businesses selling online, managing returns efficiently is not just about handling returned items — it’s about delivering a seamless post-purchase experience that keeps customers happy and coming back. A well-structured returns management system can significantly improve the overall process, transforming what is often seen as a pain point into a powerful tool for building trust and driving repeat sales.
Effective returns management relies on advanced returns management software that automates and streamlines reverse logistics. By implementing the best returns management software, businesses can reduce processing time, minimize manual errors, and save valuable resources. Features like branded returns portals and automated label generation make it easy for customers to initiate returns, track their status, and receive refunds or store credit — all of which contribute to a hassle-free, positive customer experience.
For enterprise retailers and high-volume operations, the ability to customize the returns process is essential. Customization options allow businesses to tailor their returns management system to fit unique operational needs, whether that means setting specific return policies, integrating with existing systems, or automating approval flows. This level of control helps retailers manage returns operations more efficiently, reduce costs, and maintain operational efficiency even during peak seasons.
Automation is a game-changer for managing returns at scale. By leveraging technology to handle repetitive tasks with modern returns management systems, businesses can save time and focus resources on more strategic goals, such as analyzing return data to identify product issues or improve inventory management. The right returns management system not only streamlines the flow of returned items but also provides valuable insights that can inform product development, marketing, and customer service strategies.
Ultimately, a robust returns management system is about more than just processing returns — it’s about creating a customer-centric experience that drives profitability. By making returns easy and transparent, businesses can significantly improve customer satisfaction, foster loyalty, and turn returns into an opportunity for growth. With the right software and operational focus, companies can transform returns from a cost center into a competitive advantage, ensuring they remain agile and successful in the fast-paced world of ecommerce.
The Warehouse Loop Doesn’t Move
Here is the core issue with returns management software: in almost every implementation, a company still routes returned items to the same destinations.
A brand-owned warehouse. A third-party logistics provider. A centralized inspection facility. A carrier-managed reverse logistics hub.
The RMS platform changes how the return is initiated, approved, and communicated. It does not change where the item physically goes. That means the most expensive parts of the returns process — inbound freight, receiving labor, inspection, repackaging, restocking, and markdown exposure — remain fully intact, especially when handling returned products.
Returns management software, in most cases, is a polished front end running on top of the same warehouse-centric reverse logistics loop that has existed for decades. Better UX does not change that reality. Faster label generation does not change that reality. Improved analytics do not change that reality.
In many cases, a well-implemented RMS actually accelerates return volume into that expensive backend by making the customer-facing experience smoother. Returns become easier to initiate, which is good for customer satisfaction, but the items that come back still move through the same costly infrastructure. The on-ramp gets faster. The destination stays the same.
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I'm Interested in Peer-to-Peer ReturnsVisibility Does Not Equal Recovery
There is a specific assumption embedded in how most returns technology is sold: if you can see the problem clearly enough, you can fix it. Better dashboards. More granular return reason codes. SKU-level analytics. Trend reporting by category or carrier.
Visibility is valuable. But visibility does not eliminate inbound freight. It does not remove inspection labor. It does not prevent markdown decay while an item sits in a receiving queue. It does not stop fraud from occurring during any of the multiple handoffs between customer, carrier, warehouse, and resale channel.
Knowing why an item was returned does not change what it costs to process that return or the amount of money lost through inefficient returns management.
This is not a criticism of analytics as a capability. It is a statement about what analytics alone can accomplish when the underlying physical flow remains unchanged. A returns management system can tell you, with great precision, that 34% of your size-medium hooded sweatshirts are coming back because of fit issues. That is genuinely useful data for your merchandising team. It does not, by itself, reduce the cost of processing those returns or recovering the margin on them.
The tools get better. The economics do not. Pricing models for returns management software often promise cost savings, but operators should carefully evaluate whether the pricing structure aligns with their expectations for actual financial impact.
That gap — between operational visibility and actual cost reduction — is where most evaluations of returns management software quietly fall apart. Operators buy a platform expecting cost improvement. They get process improvement. Those are not the same thing, and they still have to confront the underlying rise of e-commerce return rates driving volume into the system.
The Illusion of Efficiency
This distinction becomes clearer when you trace what happens inside the warehouse-centric loop regardless of which RMS is running above it.
Every return routed back to a warehouse requires:
- Two shipping legs: one outbound to the customer, one inbound back to a distribution center, and often a third outbound to a secondary buyer or liquidation channel
- Physical intake: dock receiving, scanning, and queue management
- Inspection labor: condition assessment, fraud screening, documentation
- Repackaging: new materials, relabeling, prep for resale
- Restocking or disposition decisions: return to available inventory, liquidate, donate, or destroy
- Markdown exposure: the longer an item sits in the reverse logistics pipeline, the more its resale value decays
Automation at the portal level does not remove any of these steps. Faster label generation does not eliminate inspection labor. Branded customer communications do not reduce the two-shipment cost structure. Better exchange flows retain revenue for items that do convert, but they do not address the economic reality of the items that don’t.
Customer-facing improvements, such as streamlined returns portals and proactive notifications, can help improve customer retention rates by making the process less frustrating and more transparent, especially when they are part of an exceptional returns program designed to build loyalty. However, these improvements alone do not fundamentally change the underlying logistics.
The most honest framing is this: returns management software was built to sit on top of warehouse-centric logistics, not to challenge it. That is not a product failure. It reflects the design intent of the category. RMS platforms exist to improve returns experiences within an existing physical infrastructure, not to reroute the physical infrastructure itself. While these enhancements can positively influence customer loyalty by providing a smoother post-purchase experience, the core logistics remain the same.
The consequence is that even a well-deployed, fully integrated returns management system leaves the most expensive parts of the process exactly where they were. The efficiency gains are real but bounded. They operate at the edges of a system whose core mechanics remain unchanged.
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Learn About Sustainable ReturnsScale Is Not the Answer Either
When software optimization reaches its limits, the industry’s default response is scale. More warehouses. More drop-off locations. More carrier integration. More volume run through the same infrastructure in hopes that unit economics improve.
The assumption is reasonable on the surface: if returns are a fixed-cost problem, spreading volume across a larger base should reduce cost per return. In practice, that curve flattens rather than bends.
Scale in reverse logistics introduces its own complications. Higher volume increases congestion at inbound receiving docks. Labor becomes harder to staff and train consistently at scale. Fraud becomes harder to detect when bulk processing obscures individual item conditions. Inventory velocity slows precisely when speed matters most, during peak seasons when return volumes spike and warehouse capacity is most constrained, underscoring the need to optimize reverse logistics end to end rather than simply push more volume through it.
The industry already ran this experiment. The consolidation wave of the last several years — larger reverse logistics networks, carrier-led initiatives, mega-warehouse investments — did not produce a step-change in per-return economics. It produced more throughput capacity running through the same cost structure.
The UPS acquisition of Happy Returns and its drop-off network is the clearest example of this pattern playing out at scale. The combination improved drop-off convenience meaningfully. Consumers gained thousands of additional return points through the UPS Store network. Box-free, label-free drop-off expanded. The customer-facing experience improved.
But items still entered a centralized network. They still required handling and consolidation. They still flowed back into warehouses or resale pipelines. The acquisition optimized the first mile of the returns journey — the part that happens before the warehouse — without changing what the warehouse does to returned inventory. FedEx’s launch of FedEx Easy Returns in 2025 confirmed the pattern: carriers are competing to own return entry points, not to eliminate the reverse logistics cost structure underneath them.
The insight that matters here is simple: returns are physical. They involve labor, space, fuel, and time. No amount of software, capital, or carrier leverage removes those constraints when the item still must travel backward through the system. Scale optimizes throughput. It does not remove structural waste.
Cost curves flatten. They do not bend.
Sustainability and Regulation Are Changing the Stakes
The economics of returns have been uncomfortable for years. But two factors are now converting that discomfort into urgency, and neither one is addressed by better software or larger networks.
The first is environmental impact. Returns double transportation emissions. Packaging is consumed twice. A significant share of returned inventory — roughly 44% of apparel returns by some estimates — never re-enters active inventory at all. Items get liquidated, incinerated, or disposed of. Every returned item that ends up destroyed represents not just a margin loss but a documented emissions event and a waste event, calling into question whether common practices like broadly offering “free” returns are economically and environmentally sustainable.
For brands with ESG commitments or sustainability reporting obligations, this is no longer an abstract concern. Reverse logistics is increasingly visible in Scope 3 emissions accounting — the category that captures indirect emissions across a company’s value chain. Returns sit squarely in that bucket. As Scope 3 reporting requirements grow, the environmental cost of warehouse-centric returns becomes a disclosed liability, not a background operational detail.
The second factor is regulatory momentum. The direction of travel internationally is clear, and the U.S. is not far behind.
France’s AGEC law, in effect since 2022, prohibits retailers from destroying unsold non-food goods, forcing investment in resale, donation, and recycling pipelines. EU landfill bans are restricting where unsold fashion can be disposed of. Extended Producer Responsibility frameworks in Germany, Canada, and other jurisdictions are creating mandatory packaging takeback and recycling obligations — returns multiply packaging counts directly against brands under these rules. The UK’s right-to-repair mandates are steering electronics returns toward refurbishment rather than replacement, all of which raise the bar for how carefully brands must craft an e-commerce returns program that aligns economics, customer expectations, and compliance.
In the United States, California has explored anti-waste proposals modeled on EU frameworks. SEC climate disclosure drafts have included Scope 3 emissions provisions. FTC scrutiny of “free returns” marketing claims is growing.
The practical consequence for operators evaluating returns management software is this: even if the economics of the current model were tolerable, the regulatory environment is beginning to remove that option. A system designed around centralizing returned goods in warehouses that may then liquidate or destroy a substantial portion of them is increasingly at odds with where compliance requirements are heading.
Better returns software does not change what happens to inventory at the end of the reverse logistics pipeline. It does not reduce emissions per return. It does not reduce the share of items that end up in liquidation. Regulatory pressure does not respond to dashboard improvements.
Traditional Returns Are Ending
Ecommerce built a returns system for a smaller internet. Today it’s collapsing under scale. Warehouses can’t absorb the volume, costs keep rising, and retailers are quietly tightening policies. This article explains why the old model is failing and what replaces it.
Read the Returns BibleThe Failure Is Architectural
Despite significant investment across the returns technology landscape — better software, more scale, more capital, more sophisticated analytics — the industry has not produced meaningful reductions in four things that actually matter: cost per return, fraud exposure, environmental impact, and time to recovery. Even seemingly small components, like how return shipping labels are created and managed, still sit inside the same warehouse-centric architecture.
That is a specific and important fact. The investment has been real. The results, measured against those four outcomes, have not matched it.
The reason is not execution. The returns technology market has produced capable, well-resourced platforms. Leading RMS vendors have built serious products. Carriers have invested in infrastructure. The talent and capital applied to this problem are not trivial.
The reason is architecture.
Returns management software and reverse logistics scale both work within a system built on a single assumption: returned items must travel back to a central warehouse or distribution center before they can re-enter the market. That assumption creates the cost structure. It creates the fraud exposure. It creates the sustainability liability. It creates the delay.
Tools that optimize within that assumption cannot change the outcomes it produces. That is not a criticism of the tools. It is a description of their limits.
An RMS platform, however capable, is working on the wrong part of the problem. It improves the experience of entering a system whose architecture generates costs that no amount of experience improvement can eliminate. Compliance, processing time, visibility — these are edge gains relative to the structural cost embedded in routing logic.
The question operators should be asking when they evaluate returns management software is not “does this platform have better features?” It is: “does this platform change where returns go?” For most platforms currently in the market, the honest answer is no. They improve what happens before and around the warehouse. They do not change the role the warehouse plays in the returns system.
That gap is where the real problem lives. And it is not a gap that better dashboards, larger networks, or more carrier integration will close — because all of those solutions, however well-executed, are still working within the same flawed assumption.
The failure is not operational. It is the architecture of the system itself.
Frequently Asked Questions
What does returns management software actually do for ecommerce brands?
Returns management software handles the customer-facing and operational mechanics of the returns process: branded self-serve portals, policy enforcement, label generation, exchange flows, return reason analytics, and customer communications. It improves the experience of initiating and tracking a return, reduces inbound support volume, and can help retain revenue through exchange nudges. It does not, in most implementations, change where returned items physically go or eliminate the warehouse processing costs that represent the majority of per-return expense.
Why doesn’t better returns software reduce cost per return?
Because the most expensive parts of the returns process — inbound freight, inspection labor, repackaging, restocking, and markdown exposure — occur inside the warehouse-centric reverse logistics loop that RMS platforms sit on top of, not inside the software itself. Better automation, faster label generation, and improved analytics improve the front-end experience without removing the back-end cost structure. Visibility into return reasons does not eliminate the cost of processing the items that come back.
Does scaling up return operations or using drop-off networks reduce per-return costs?
Scale flattens cost curves rather than bending them. Larger networks and more drop-off locations improve customer convenience and first-mile efficiency, but items still require centralized handling, warehouse processing, and disposition. The UPS integration of Happy Returns is a clear example: drop-off convenience improved significantly, but the fundamental reverse logistics cost structure remained intact. Carriers competing to own return entry points are not eliminating warehouse processing — they are expanding access to it.
What is the connection between returns management and Scope 3 emissions?
Returns double transportation emissions and generate packaging waste at multiple points in the reverse logistics chain. A significant share of returned inventory — particularly in apparel — never re-enters active inventory and is liquidated or destroyed. Scope 3 emissions accounting captures these indirect emissions across the value chain, and regulatory requirements for Scope 3 disclosure are growing. For brands with ESG reporting obligations, warehouse-centric returns represent a documented and growing liability that returns software alone does not address.
What is the AGEC law and why does it matter for U.S. retailers?
France’s Anti-Waste for a Circular Economy law (AGEC), effective since 2022, prohibits retailers from destroying unsold non-food goods, including returned inventory. It has forced retailers operating in France to build resale, donation, and recycling pipelines. U.S. retailers should monitor it as a leading indicator: California has explored similar anti-waste proposals, EU-style frameworks are advancing internationally, and the regulatory trajectory points toward greater scrutiny of how returned goods are disposed of. Retailers that wait for U.S. regulation to arrive before adjusting their returns infrastructure will adapt under pressure rather than on their own terms.
If returns management software doesn’t solve the cost problem, what does?
The cost problem in returns is structural: it follows from routing items backward through the supply chain before they can move forward again. Solving it requires changing the routing logic, not improving the experience layer on top of existing routing. The architecture of the returns system — not the quality of the software operating within it — is what determines cost per return, fraud exposure, environmental impact, and time to recovery.
Written By:
Manish Chowdhary
Manish Chowdhary is the founder and CEO of Cahoot, the most comprehensive post-purchase suite for ecommerce brands. A serial entrepreneur and industry thought leader, Manish has decades of experience building technologies that simplify ecommerce logistics—from order fulfillment to returns. His insights help brands stay ahead of market shifts and operational challenges.
Turn Returns Into New Revenue
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When SEO Optimization Creates Returns
In this article
10 minutes
During Cahoot’s Ugly Talk: Selling in a World Run by Algorithms panel in New York, much of the conversation focused on how ecommerce brands adapt their product listings to perform well in discovery systems. Search engines and marketplace platforms rely heavily on structured signals—keywords, attributes, and descriptions—to determine which products appear when customers search.
Over time, ecommerce operators have learned how to shape their listings to match those signals, a process guided by search engine optimization (SEO) best practices. Product titles grow longer, feature lists become more detailed, and descriptions incorporate phrases that align with the language customers use when searching. Detailed, optimized product descriptions are especially important, as they help search engines better understand the products and enhance user engagement, ultimately improving rankings and visibility.
Incorporating phrases that align with customer language is crucial. Additionally, identifying and using trending keywords through tools like Google Trends or seasonal keywords to optimize your Amazon product listings helps ecommerce brands stay relevant in search results and capture seasonal or popular search traffic.
In many cases, this kind of optimization works exactly as intended. When a product listing better reflects how customers search, it becomes easier for algorithms to surface it. Visibility improves, more shoppers see the listing, and traffic increases.
But during the panel discussion, one moment highlighted a less obvious consequence of this process. The strategies used to improve discovery can sometimes create problems later in the customer experience—problems that only appear after the order has already been placed.
This article is part of a series inspired by Ugly Talk: Selling in a World Run by Algorithms, a live panel hosted by Cahoot in New York. The discussion brought together operators and technology leaders including Manish Chowdhary of Cahoot, Nihar Kulkarni of Roswell NYC, Frank Pacheco of Nearly Natural, and YiQi Wu of Aimerce.
Throughout the conversation, the panel explored how artificial intelligence, recommendation systems, and platform algorithms are changing how ecommerce brands compete for visibility and customers.
These ideas are part of a broader framework for understanding how AI is reshaping ecommerce. For a complete breakdown of how discovery systems, product pages, brand authority, behavioral data, and fulfillment infrastructure interact, see The AI Commerce Playbook for Ecommerce Brands.
The Pressure to Optimize for Search Engines
For ecommerce operators, the pressure to optimize listings for search algorithms is constant. Whether the product appears on Google, Amazon, or another marketplace, visibility often depends on how well the listing matches the phrases customers are searching for.
That reality shapes how product pages are written. Titles are expanded to include multiple keyword variations. Bullet points are adjusted to reflect common search queries. Features are described using the exact language shoppers type into search bars. However, it’s important to avoid keyword stuffing—overloading titles and descriptions with keywords can harm readability and search performance. Instead, focus on natural keyword integration to improve both user experience and search visibility.
All of these changes are designed to accomplish one goal: getting the product discovered.
And discovery matters. If a product never appears in search results, customers never have the opportunity to evaluate it. Effective ecommerce keyword optimization can significantly improve search engine rankings, but this must be balanced with clear, customer-friendly content.
But discovery is only the first step in the buying process. Once a shopper lands on a product page, the challenge changes entirely. At that point, the listing must help a human being understand what the product actually offers and whether it fits their needs.
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See How It WorksWhen Keyword Research Shapes Expectations
During the panel discussion, one example illustrated how keyword optimization can sometimes influence customer expectations in unexpected ways.
A product listing had been updated to include a feature keyword that aligned with common search behavior. From an algorithmic perspective, the change worked. The listing became easier for discovery systems to surface, and the product began attracting more traffic. Effective keyword research can help ensure that only accurate and relevant keywords are used, reducing the risk of misrepresenting product features.
But the keyword carried a specific implication about the product’s capabilities.
Shoppers who encountered the listing interpreted the phrase literally. They assumed the product included that feature and purchased it with that expectation in mind. When the item arrived and the feature was not actually present, the result was predictable. Customers felt misled, complaints increased, and return requests followed. This example highlights the importance of understanding search intent to align product listings with what customers are actually seeking.
From a purely discovery-driven perspective, the optimization had succeeded. The product became more visible and attracted more buyers. But from a customer experience perspective, the change introduced a gap between the product description and the expectations customers formed while reading it.
Discovery and Conversion Are Not the Same
The example reflected a broader theme that emerged during the Ugly Talk discussion. Discovery optimization and customer conversion do not always operate in harmony.
Algorithms reward listings that contain relevant keywords and structured information. Using keyword tools can help identify the most effective keywords for both discovery and conversion, ensuring your content aligns with search intent and maximizes visibility.
But human shoppers do not read product pages the way algorithms do.
Customers are not scanning for keyword matches. They are trying to answer a much simpler question: Is this the right product for me?
To answer that question, they look for clarity, context, and trust signals. They want to understand what the product does, why it exists, and how it solves their problem.
When product pages become overloaded with phrases designed primarily to improve search ranking, that clarity can begin to disappear. Instead of guiding the customer toward a confident decision, the listing can unintentionally create confusion.
A strong internal linking structure can help guide customers to relevant information, improve user experience, and ensure they find the details they need to make informed decisions.
The result is a subtle but important misalignment between how the product is discovered and how it is understood.
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See AI in ActionThe Operational Cost of Misalignment
When that misalignment occurs, the consequences rarely appear immediately. The product may initially perform well because the optimization succeeds in increasing traffic and driving purchases. Marketplace search plays a key role in this initial discovery, helping to drive brand awareness and attract new customers at the top of the funnel.
The real impact often surfaces later, once customers begin interacting with the product itself, with platforms like Amazon even flagging problematic listings with a “Frequently Returned” badge.
Shoppers who feel that a listing overstated or implied certain features may leave negative reviews. Others contact support teams seeking clarification about how the product works. Some simply return the item, believing it does not match what they thought they were buying, and a small portion may even exploit generous policies through returns and refund fraud.
From an operational perspective, each of these outcomes carries a cost, and they compound the broader financial and environmental pressures tied to the cost of free returns.
Returns increase shipping and handling expenses. Customer support teams spend additional time resolving misunderstandings. Negative reviews influence future conversion rates and shape how the product is perceived by future shoppers, making it critical for Amazon sellers in particular to analyze FBA returns for Amazon success.
What began as a small adjustment to improve discoverability can eventually ripple across multiple parts of the business, especially as many retailers struggle with the rise of e-commerce return rates.
As customer search behavior evolves, ongoing adjustments to product listings and ecommerce keyword optimization strategies are necessary to maintain alignment with what shoppers are actually searching for, and investing in Amazon market and product research helps ensure those changes are grounded in real demand and competition data.
A New Ecommerce SEO Challenge for Operators
As ecommerce discovery systems continue to evolve, the challenge for operators becomes more nuanced.
Visibility will always remain essential. Brands still need their products to appear when customers search. Discovery optimization will continue to play a central role in ecommerce strategy. “In the past I used titles like ‘olive tree artificial plant indoor decor’ because I was trying to hit every keyword. As AI systems got more sophisticated, that stopped working. Now the system is actually interpreting the intent of the buyer and the meaning of the content.” — Frank Pacheco, Nearly Natural
Implementing schema markup can enable rich snippets, which display enhanced information like star ratings, prices, and availability directly in search engine results, improving visibility and click-through rates. This also increases the chances of surfacing in AI overviews, which favor clear, structured content.
But optimization strategies must also account for the human experience that follows discovery.
A customer arriving on a product page should be able to understand what the product offers without interpreting a long list of keywords or marketing phrases. The listing should communicate the product’s value clearly and accurately while still satisfying the signals that discovery systems rely on. Placing the target keyword in title tags and meta descriptions is crucial for improving search visibility and attracting clicks.
Finding that balance is becoming one of the most important skills in modern ecommerce.
The Algorithm Era Requires Search Intent Clarity
One of the recurring themes throughout the Ugly Talk panel was that ecommerce now operates within a layered system of interpretation.
Algorithms influence discovery. Humans make purchasing decisions. Operations absorb the consequences when expectations are not met.
Each layer evaluates product information differently, and success increasingly depends on how well those layers align. Structured data markup can help search engines better understand website content and improve presentation in search results.
Optimizing for search visibility remains essential, but visibility alone is no longer enough. Ongoing keyword research helps ensure that content remains relevant and effective. The brands that succeed in the algorithm era will be the ones that pair discoverability with clarity, ensuring that the expectations created during discovery match the experience customers receive after the purchase.
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I'm Interested in Saving Time and MoneyMeasuring SEO Success
For ecommerce brands, implementing an effective SEO strategy is only half the battle—the real value comes from measuring its impact. Understanding which efforts are driving results allows operators to refine their approach and maximize returns from organic search.
The most important key metrics to track include organic search traffic, keyword rankings, conversion rates, and revenue generated from organic search. Monitoring organic search traffic reveals how well your ecommerce SEO efforts are increasing visibility and attracting potential customers to your online store. Tracking keyword rankings helps you see where your product and category pages stand in search engine results pages, and whether your keyword strategy is helping you climb higher for the right keywords.
Conversion rates and revenue from organic search provide a direct link between your SEO strategy and business outcomes. By analyzing how many visitors from search engines actually make a purchase, and how much revenue those visits generate, you can assess the true effectiveness of your SEO efforts.
Regularly reviewing these key metrics ensures your ecommerce SEO remains aligned with both search engine algorithms and customer needs. With clear measurement, you can identify what’s working, spot new opportunities, and continually optimize your strategy for long-term growth.
In the next article, let’s learn how behind every recommendation system lies an enormous volume of behavioral data.
Written By:
Manish Chowdhary
Manish Chowdhary is the founder and CEO of Cahoot, the most comprehensive post-purchase suite for ecommerce brands. A serial entrepreneur and industry thought leader, Manish has decades of experience building technologies that simplify ecommerce logistics—from order fulfillment to returns. His insights help brands stay ahead of market shifts and operational challenges.
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Why AI Still Recommends Nike and Coca-Cola
One of the more surprising moments during Cahoot’s Ugly Talk: Selling in a World Run by Algorithms panel in New York came when the discussion turned to a common assumption about artificial intelligence and ecommerce.
Many people believe that AI-powered shopping assistants will level the playing field for smaller brands. If customers stop typing short keywords into search engines and instead ask conversational questions, the thinking goes, algorithms might focus more on product relevance than brand recognition.
In theory, that would make it easier for lesser-known brands to compete with global incumbents.
But as the panelists discussed how AI discovery systems actually behave today, a different pattern began to emerge. “Structured product data matters, but the product itself matters just as much. When we look at AI search results today, top brands still appear at the top most of the time.” — YiQi Wu, Aimerce
Even when shoppers ask open-ended questions, the same familiar names often appear in recommendations. Brands like Nike or Coca-Cola show up repeatedly, even in situations where the question itself does not mention them. “Even if someone copied Nike’s website exactly, ten different versions wouldn’t outrank Nike. Brand authority still plays a huge role.” — YiQi Wu
This observation raised an interesting question during the discussion: if AI is supposed to change ecommerce discovery, why do the biggest brands still dominate the answers?
AI product recommendations analyze customer data to suggest relevant products based on user behaviors and preferences. Their effectiveness relies on the quality and completeness of the underlying product data. To implement AI-powered product recommendations, an ecommerce business typically needs to collect and store a large amount of data on their customers’ behavior. AI product recommendations can significantly increase customer engagement, average order value, conversion rates, and foster customer loyalty and retention by providing personalized suggestions and improving inventory management.
The answer may lie in how AI systems interpret information in the first place. AI-powered recommendations and AI product recommendation engines are now key technologies in ecommerce platforms and ecommerce business, personalizing shopping experiences and increasing sales by leveraging customer data and machine learning.
This article is part of a series inspired by Ugly Talk: Selling in a World Run by Algorithms, a live panel hosted by Cahoot in New York. The discussion brought together operators and technology leaders including Manish Chowdhary of Cahoot, Nihar Kulkarni of Roswell NYC, Frank Pacheco of Nearly Natural, and YiQi Wu of Aimerce.
Throughout the conversation, the panel explored how artificial intelligence, recommendation systems, and platform algorithms are changing how ecommerce brands compete for visibility and customers.
These ideas are part of a broader framework for understanding how AI is reshaping ecommerce. For a complete breakdown of how discovery systems, product pages, brand authority, behavioral data, and fulfillment infrastructure interact, see The AI Commerce Playbook for Ecommerce Brands.
AI product recommendations matter because they enhance customer engagement, satisfaction, and loyalty by delivering relevant, personalized suggestions at key touchpoints. The effectiveness of these systems depends on data quality, high quality data, and up-to-date data – high-quality structured data and data completeness are essential for accurate and effective AI product recommendations.
Introduction to AI Product Recommendations
AI-powered product recommendations have become a cornerstone of modern ecommerce, transforming the way online shoppers discover and engage with products. By harnessing the power of machine learning algorithms, ecommerce businesses can analyze vast amounts of customer data—including purchase history, browsing behavior, and demographic details—to deliver highly relevant product suggestions tailored to each individual customer. This personalized approach not only enhances the customer experience but also drives sales by encouraging customers to explore more products that match their preferences.
The impact of AI product recommendations extends beyond just suggesting items; it directly contributes to higher average order value and improved customer satisfaction. When customers receive recommendations that align with their interests and needs, they are more likely to add additional items to their cart, increasing the average order and boosting overall revenue for the business. Moreover, by consistently providing relevant product suggestions, ecommerce brands can foster stronger relationships with their customers, leading to greater loyalty and repeat purchases.
In today’s competitive ecommerce landscape, leveraging AI-powered product recommendations is essential for businesses looking to stand out and drive sales. By utilizing machine learning to analyze customer data and deliver personalized recommendations, brands can create a shopping experience that feels uniquely tailored to each shopper—ultimately improving customer satisfaction and increasing average order value.
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See AI in ActionHow AI Algorithms Work
At the heart of effective product recommendations are sophisticated AI algorithms designed to collect and analyze customer data, uncovering patterns that reveal individual preferences and shopping habits. These algorithms draw from a variety of data points, such as browsing history, purchase history, and demographic details, to build a comprehensive profile of each customer’s behavior.
One of the most widely used approaches is collaborative filtering, which identifies patterns in customer behavior by analyzing the actions of similar customers. For example, if a group of shoppers with similar purchase histories and browsing habits frequently buy a particular product, the algorithm will suggest that product to others in the group. This method leverages the collective wisdom of the customer base to suggest products that are likely to resonate with each individual.
Content-based filtering takes a different approach by focusing on the attributes of products a customer has already shown interest in. By analyzing the features and characteristics of previously viewed or purchased items, the algorithm can recommend similar products that align with the customer’s established preferences.
By combining these techniques, AI algorithms can generate highly personalized product recommendations that guide customers toward relevant products, increasing the likelihood of conversion. The ability to identify patterns in customer behavior and suggest products that match their interests not only enhances the shopping experience but also drives sales and encourages repeat purchases. For ecommerce businesses, implementing AI-powered recommendation engines is a powerful way to deliver personalized product recommendations, improve customer engagement, and ultimately boost conversion rates.
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I'm Interested in Saving Time and MoneyProminent Brands Get Mentioned More Frequently Due to Customer Satisfaction
AI models and recommendation engines do not simply scan product catalogs the way traditional search engines do. Instead, they rely on patterns learned from enormous amounts of data — product descriptions, customer reviews, brand mentions, online articles, and countless other sources of information across the internet. These systems analyze customer behavior, shopper preferences, and customer interactions to generate relevant recommendations tailored to each user.
In that environment, widely recognized brands possess an inherent advantage. They appear more frequently in conversations, reviews, and media coverage. They have years of accumulated customer feedback. Their products have been discussed, compared, and analyzed across thousands of different contexts.
All of this creates a dense network of signals that AI systems can interpret when generating recommendations. AI algorithms analyze various data points, including browsing habits and past purchases, to deliver tailored product suggestions. Recommendation engines use product attributes and focus on analyzing data to ensure the suggestions are as relevant as possible.
When an AI assistant attempts to answer a question about the best running shoes, or the most comfortable sneakers for standing all day, it is not simply scanning a list of products. It is drawing from patterns it has observed across the data it was trained on. AI-driven product recommendation engines continuously learn and refine their suggestions over time, becoming more accurate as they process more data and customer interactions. AI algorithms also clean and reformat raw data to make it useful for analysis, and continuous optimization is required to deliver highly relevant suggestions. Brands that consistently appear in those patterns naturally become easier for the system to recommend with confidence.
This does not mean the AI is intentionally favoring large companies. Rather, it reflects the reality that well-known brands leave a much larger footprint in the information ecosystem that AI systems rely on.
Established Brands Have Vast Customer Data
During the panel discussion, this point sparked a broader reflection about the relationship between brand authority and algorithmic discovery.
Large brands tend to accumulate advantages over time that extend beyond simple marketing budgets. They generate more reviews, more mentions, and more historical data about how customers interact with their products. Platforms record years of purchasing behavior and engagement metrics associated with those brands, including valuable data on past purchases that AI uses to deliver personalized content and a personalized experience. Media coverage reinforces their visibility, while consumer familiarity strengthens trust.
AI solutions and tailored recommendations further amplify these advantages by fostering customer retention, customer loyalty, and brand loyalty, ultimately leading to higher lifetime value. Personalized product recommendations foster customer loyalty and retention by creating a shopping experience that meets individual preferences. AI-powered product recommendations enhance customer engagement by providing tailored recommendations and personalized experiences that cater to individual preferences. In fact, 76% of consumers get frustrated when they do not receive personalized product recommendations during their shopping experience.
Taken together, these signals form a kind of informational gravity. The more often a brand appears in relevant contexts, the easier it becomes for algorithms — whether search engines, marketplaces, or AI systems — to interpret that brand as a credible recommendation.
AI product recommendations are also boosting sales and increasing sales by presenting customers with relevant products at the right time. AI-powered product recommendations can lead to a 70% increase in the likelihood of a customer making a purchase. Retail giants like Amazon attribute 35% of their total sales to their AI-powered product recommendation engine, demonstrating the significant impact of these technologies on revenue growth.
In that sense, AI discovery may not erase brand advantages as quickly as some observers expect. In fact, early recommendation systems sometimes appear to reinforce them.
For smaller ecommerce brands, this realization can feel discouraging at first. If AI systems rely heavily on existing signals of authority and recognition, does that mean emerging brands will struggle even more to gain visibility, even when they invest in building a direct-to-consumer Shopify website to control their customer data and experience or try to compete directly with marketplaces like Amazon?
The panelists suggested a more nuanced interpretation.
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See How It WorksBrands Should Challenge with Consistency to Build Brand Loyalty
While established brands benefit from deeper pools of data, the signals that AI systems rely on are not fixed. Reviews accumulate. Product descriptions evolve. Customer conversations expand across platforms. Over time, the informational footprint of a brand can grow.
Smaller brands that consistently generate clear product data, strong customer experiences, and credible reviews gradually build the signals that algorithms interpret. It is crucial for ecommerce websites and ecommerce businesses to collect data from customer interactions, purchases, and reviews, as this enables AI-driven recommendations and AI solutions to deliver personalized shopping experiences and give brands a competitive edge. AI recommendation systems continuously learn from customer interactions and customer preferences, refining their suggestions over time to better match what customers based on their behaviors and needs are looking for.
AI-powered product recommendation engines also enhance product discovery, helping customers find relevant products more easily. For example, Sapphire, a leading Pakistani fashion retailer, achieved a 12X ROI by using AI-powered product recommendations to improve product discovery. A robust Product Information Management (PIM) system ensures product data is clean and consistent, further improving the quality of recommendations.
To evaluate the performance of AI recommendations, businesses should monitor metrics such as click-through rates and conversion rates. Managing the post-purchase experience with returns management software is also critical, since efficient, customer-friendly returns can significantly influence satisfaction and repeat purchase behavior, and choosing the best returns management software for ecommerce can turn returns into a driver of loyalty rather than a cost center. At the same time, data privacy and transparency are essential when implementing AI product recommendations to maintain customer trust.
By encouraging customers with just that—relevant, timely recommendations—smaller brands can create personalized shopping experiences that drive engagement and help them compete with larger players.
In other words, brand authority in an AI-driven discovery environment may function less like a permanent advantage and more like a signal that compounds over time.
The conversation ultimately returned to a broader theme that ran throughout the Ugly Talk panel. Algorithms are changing the mechanics of discovery, but they do not eliminate the underlying dynamics of trust, reputation, and customer experience.
Consumers still rely on signals that help them evaluate whether a product is credible. Algorithms simply interpret those signals in different ways.
For ecommerce operators, the lesson is not that AI discovery will automatically reward unknown brands or punish established ones. The more important insight is that visibility will increasingly depend on how product information, customer feedback, and brand reputation appear across the broader data environment that algorithms analyze.
In that sense, the emergence of AI-driven discovery does not reset the competitive landscape overnight.
But it does introduce a new layer of interpretation that brands will need to understand as these systems continue to evolve.
Click to continue learning how products that consistently earn positive feedback and customer trust generate signals that compound over time.
Written By:
Manish Chowdhary
Manish Chowdhary is the founder and CEO of Cahoot, the most comprehensive post-purchase suite for ecommerce brands. A serial entrepreneur and industry thought leader, Manish has decades of experience building technologies that simplify ecommerce logistics—from order fulfillment to returns. His insights help brands stay ahead of market shifts and operational challenges.
Turn Returns Into New Revenue
Related Articles
The Myth of “Efficient” Reverse Logistics
Efficient reverse logistics is treated as a goal worth chasing.
Why Peer-to-Peer Returns Reduce Fraud by Design
Return fraud in ecommerce is not primarily a bad-actor problem — it is a systems problem, and the system most brands rely on was built to create it.