US Retail Returns Near 17%: Why Reverse Logistics Belongs in Your Fulfillment Strategy

Returns aren’t a seasonal spike or an edge case in U.S. retail anymore — they’re a structural part of the business. According to the National Retail Federation, U.S. shoppers returned an estimated $849.9 billion in merchandise in 2025, a return rate of 15.8% of total retail sales. Online-only purchases ran higher, at 19.3%, and NRF projected returns during the 2025 holiday season specifically to reach 17% of holiday sales. For some product categories, the number is far higher still — DHL has reported return rates as high as 90% for certain women’s apparel categories like dresses.

For most D2C and e-commerce brands, that means reverse logistics — the process of getting a returned product back into inventory, resale, liquidation, or disposal — isn’t a support function you can bolt on later. It’s a cost center large enough, and a customer-experience factor visible enough, to shape how you should be planning fulfillment from the start.

The Real Scale of Returns in the U.S.

A few figures help frame just how large this has become:

• 15.8% of all 2025 U.S. retail sales were returned, worth an estimated $849.9 billion, according to NRF’s October 2025 retail returns report.
• 19.3% was the online-specific return rate for 2025 — meaningfully higher than in-store purchases.
• 17% was NRF’s projected holiday-season return rate for 2025, reflecting how gifting and sizing uncertainty push returns even higher during peak periods.
• Up to 90% for certain apparel subcategories like women’s dresses, according to DHL’s reverse logistics research — a reminder that category matters enormously, and a blended “average” return rate can understate the real exposure for apparel-heavy sellers.
• 9% of all returns were classified as fraudulent in NRF’s 2025 data, and close to two-thirds of consumers admitted to some form of costly return behavior, such as “bracketing” (ordering multiple sizes or variants with the intent to return most of them).

These numbers matter because they change the assumption a lot of brands still operate on — that returns are a manageable exception. At current rates, returns are closer to a routine, ongoing flow that needs its own operational plan.

Why Reverse Logistics Costs More Than Just Shipping a Box Back

Reverse logistics isn’t simply “reverse the outbound shipment.” Industry cost modeling (Eightx, drawing on Optoro, Pitney Bowes, and Coresight Research data) estimates the fully loaded cost of processing a single returned item at roughly:

• $25–$35 per item for apparel and footwear, with reverse shipping typically the single largest cost component (often around a third of the total), followed by receiving/inspection/restocking, markdown or write-down value loss, and customer service handling.
• $35–$55 per item for electronics
• $35–$65 for small home goods
• $55–$90+ for large furniture, where reverse freight alone can account for roughly 40–45% of the total cost, with damage-related write-downs as the second-largest factor.

These are modeled industry estimates, not universal figures — actual cost depends heavily on your specific product dimensions, shipping distance, packaging, and how efficiently your reverse logistics operation is run. But the pattern holds across categories: reverse shipping and inspection/restocking are consistently the two biggest cost drivers, and the faster a returned item can be inspected, restocked, and made resalable again, the less value is lost to markdown, damage, or a missed resale window.

What’s Actually Driving Returns

Understanding why customers return items helps prioritize where to focus operationally:

• Sizing and fit issues are cited by roughly 54% of shoppers as a return reason, particularly significant for apparel and footwear sellers.
• Product quality concerns are cited by roughly 55% of shoppers — a signal that return data can double as early product-quality feedback if it’s tracked and reviewed systematically.
• Bracketing behavior — ordering more than needed with the intent to return the excess — affects a meaningful share of online orders, especially in apparel, and is difficult to eliminate but easier to plan capacity around once it’s measured.
• Fraudulent returns, including overstated quantities, empty-box returns, and counterfeit swaps, accounted for about 9% of total returns in NRF’s most recent data, prompting a growing share of retailers to adopt AI-based fraud screening.

Why Returns Policy Affects Sales, Not Just Costs

Returns handling isn’t purely a backend cost question — it shapes whether a customer buys in the first place and whether they come back. DHL’s research has found that a large share of shoppers abandon a purchase specifically because of an unclear or restrictive return policy, and separate DHL consumer research has shown that trust in a retailer’s delivery and returns experience directly affects whether shoppers are willing to buy from that retailer again. A returns process that’s slow, unclear, or expensive for the customer doesn’t just cost more to run — it actively suppresses the sales you’re trying to protect.

What Good Reverse Logistics Actually Involves

A functional reverse logistics operation typically covers:

1. Return authorization and labeling — making it simple for the customer to initiate a return, ideally without needing a printer, given rising demand (particularly among younger shoppers) for labelless or QR-code-based return options.
2. Receiving and inspection — checking condition, verifying the item matches what was ordered, and screening for signs of fraudulent or abusive return patterns.
3. Grading and routing — deciding whether an item goes back into sellable inventory as-is, needs light refurbishment, should be liquidated, or must be disposed of.
4. Restocking speed — the faster an item is back in sellable inventory, the less value is lost to markdown or a missed selling window, which is especially important for seasonal or trend-driven products.
5. Data feedback — feeding return reasons back into product, sizing, and quality decisions so the return rate itself can be reduced over time, not just processed more efficiently.

How a 3PL Changes the Economics

Handling reverse logistics in-house is a real option for high-volume sellers with the space and staffing to support it, but for most growing D2C brands, a 3PL changes the math in a few specific ways:

• Consolidated reverse shipping through an established carrier network and regional drop-off points can lower the per-item reverse freight cost that consistently makes up the largest share of return processing expense.
• Faster inspection-to-restock cycles reduce the window where a returned item is sitting unsellable, which matters most for time-sensitive or trend-driven inventory.
• Scaled grading and liquidation channels mean a 3PL can often recover more value from damaged, out-of-season, or otherwise non-resellable returns than a smaller in-house operation can on its own.
• Fraud screening at scale, since a 3PL processing returns across many clients can apply pattern detection that’s hard to replicate with a single brand’s return volume.

What to Check Before Choosing a Reverse Logistics Partner

• Ask for cost-per-return by category, not a single blended rate — apparel, electronics, and larger goods have meaningfully different cost structures, as the data above shows.
• Confirm average inspection-to-restock turnaround time, since this directly affects how much resale value you recover on returned inventory.
• Ask how grading and liquidation decisions are made, and whether you retain visibility into what happens to items that aren’t restocked.
• Check whether return reason data is reported back to you in a usable format — this is what lets you actually reduce your return rate over time, not just manage it.
• Review how the partner handles suspected fraudulent returns, given that fraud now accounts for a meaningful share of total return volume industry-wide.

Key Takeaway

At close to one in six retail dollars coming back through the door — and far more than that for apparel-heavy categories — reverse logistics has moved from a support function to a core part of U.S. retail operations. The brands managing it well aren’t necessarily the ones with the lowest return rate; they’re the ones that have built a reverse logistics process fast and reliable enough that a return doesn’t mean lost inventory value, a frustrated customer, and a support ticket all at once. Getting the receiving, grading, restocking, and data feedback loop right is now as much a part of running an efficient U.S. supply chain as getting products out the door in the first place.

PNP LINE provides U.S. warehousing, 3PL fulfillment, and reverse logistics support designed to help e-commerce and D2C brands turn returns processing from a cost center into a manageable, predictable part of operations.

Learn more about 3PL warehousing and fulfillment from PNP LINE, or see how our e-commerce fulfillment services can support your returns and inventory strategy from receiving through resale.

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Source References

• National Retail Federation, “Consumers Expected to Return Nearly $850 Billion in Merchandise in 2025,” October 15, 2025 — https://nrf.com/media-center/press-releases/consumers-expected-to-return-nearly-850-billion-in-merchandise-in-2025
• DHL Group, “Reverse logistics goes from cost center to competitive edge – DHL data shows,” January 14, 2026 — https://group.dhl.com/en/media-relations/press-releases/2026/reverse-logistics-goes-from-cost-center-to-competitive-edge-dhl-data-shows.html
• Eightx, “Average ecommerce returns processing cost per item by vertical, 2026” (modeling based on Optoro Returns Unwrapped, Pitney Bowes BOXpoll, Coresight Research, and BLS data) — https://eightx.co/blog/average-ecommerce-returns-processing-cost-per-item-by-vertical-2026

Disclaimer: Return rates and processing costs vary significantly by product category, order profile, and operational setup. Figures in this article are drawn from published industry research and modeling as of the dates above and should be treated as general benchmarks rather than a substitute for your own return-rate and cost analysis.