Comprehensive data on return rates, processing costs, fraud patterns, and technology adoption shaping the future of post-purchase operations

 

The apparel and footwear industry faces a returns crisis that traditional customer service cannot solve. U.S. retail returns were projected to reach $849.9 billion in 2025 alone, with apparel and footwear commonly seeing 20-40% online return rates. For ecommerce brands, the challenge is not simply processing returns faster but executing them within the customer conversation itself. Platforms that combine AI-powered resolution with transaction execution can address the operational burden while protecting customer relationships.

 

Key Takeaways

• Returns volume is staggering. NRF projected $890 billion in retail returns for 2024, with apparel and footwear contributing disproportionately due to sizing challenges.
• Size and fit drive most returns. 53% of surveyed respondents cited size/fit as a top reason for online apparel returns, ahead of color and damage.
• Processing costs erode margins. Online apparel returns were estimated to generate $25.1 billion in processing costs in 2023, excluding merchandise waste.
• Return fraud creates financial exposure. NRF found that 9% of all returns are fraudulent.
• Customer expectations are non-negotiable. 82% of shoppers consider free returns important when shopping online.
• Automation delivers measurable results. Better product information and sizing tools reduce return volume, with AI-powered solutions improving efficiency across the returns workflow.
• Kodif connects resolution with execution. Kodif’s AI-powered resolution works with connected commerce systems so eligible post-purchase issues can be resolved within the customer conversation.

 

The Scale of the Apparel and Footwear Returns Problem

The financial magnitude of returns in fashion retail demands attention from every ecommerce operator. These statistics reveal just how significant the challenge has become.

 

1. U.S. retail returns were projected to reach $849.9 billion in 2025

The 2025 estimate represented 15.8% of annual sales across all retail categories, with apparel and footwear among the highest contributors. This volume creates operational complexity that manual processes cannot efficiently handle. Brands investing in returns automation can recapture margin and improve customer satisfaction simultaneously.

 

2. NRF projected $890 billion in U.S. retail returns for 2024

The 2024 projection represented 16.9% of sales, establishing a new baseline for the returns economy. This figure included both online and in-store returns, with ecommerce contributing at significantly higher rates. The scale justifies substantial investment in returns management technology.

 

3. Ecommerce return rate estimated at 19.3% of online sales in 2025

An estimated 19.3% of online sales were expected to be returned in 2025, compared with a 15.8% overall retail return rate. This gap reflects the inherent challenge of purchasing without physical product interaction. Brands that can reduce friction in the returns process while maintaining profitability gain a competitive advantage.

 

4. Online apparel and footwear returns were estimated at $38 billion in 2023

Coresight Research documented a 24.4% return rate for online apparel and footwear purchases, translating to massive financial exposure. This category-specific data demonstrates why fashion brands need specialized returns solutions rather than generic approaches.

 

5. Processing costs for online apparel and footwear returns were estimated at $25.1 billion in 2023

Research indicates that processing costs alone, excluding merchandise waste, represented a substantial portion of total returns expense. These operational costs include labor, shipping, inspection, and restocking, each representing an opportunity for automation.

 

Apparel and Footwear Return Rate Benchmarks

Understanding category-specific return rates helps brands benchmark their performance and identify improvement opportunities.

 

6. Apparel return rates range from about 20-35% online

Fashion items consistently return at higher rates than other ecommerce categories due to fit uncertainty. This range reflects variation across product types, price points, and customer demographics. Brands at the higher end of this range have the most to gain from returns optimization.

 

7. Footwear return rates range from about 25-40% online

Shoes present similar sizing challenges to apparel, with rates varying significantly across footwear categories. Comfort factors compound fit issues, as customers often cannot assess how shoes feel during extended wear until after purchase.

 

8. Some fashion sectors see average return rates above 50%

DHL reports that bracketing is driving return rates above 50% in certain fashion sectors. For high-sensitivity apparel categories, return rates can climb substantially higher.

 

9. Return rates can hit almost 90% for women’s dresses

For high-sensitivity apparel categories such as women’s dresses, DHL reports that return rates can hit almost 90%. This demonstrates how dramatically return frequency can vary across fashion categories.

 

10. Clothing has a 25% return rate in cited consumer survey data

Consumer survey data shows that clothing leads at 25%, the highest rate among the product categories listed. The underlying Statista Consumer Insights data covered 9,778 U.S. adults surveyed from April 2024 to March 2025.

 

11. Shoes have a 17% return rate in cited consumer survey data

In the same consumer survey data, shoes rank at 17%, behind clothing at 25%. The figures provide a consistent category comparison using the same underlying dataset.

 

Online vs. In-Store Return Comparison

Digital commerce creates unique returns challenges that distinguish it from traditional retail.

 

12. Online return rate is 17.6% compared to 10-13% for in-store purchases

The gap between online and offline return rates highlights the challenge of selling without physical product interaction. This differential represents the trust and certainty customers gain from in-person shopping experiences.

 

13. An older Invesp benchmark reports online returns near 30% versus 8.89% in stores

Some research shows an even wider gap between channels, with online returns more than triple in-store rates. This disparity creates significant operational planning challenges for omnichannel retailers.

 

Why Customers Return Apparel and Footwear

Understanding return drivers enables targeted prevention and process improvement strategies.

 

14. 65% of online shoppers have returned an item because it didn’t fit

Sizing issues dominate return reasons across all fashion categories. This single factor represents the largest opportunity for returns reduction through better product information and sizing tools.

 

15. 53% of surveyed apparel brands and retailers cited size/fit as a top reason for online returns

Coresight Research confirms that more than half of surveyed apparel brands and retailers cited size/fit as a top reason for online apparel returns. This makes fit a leading return-reduction focus.

 

16. A 2019 survey found wrong size, fit, or color was the top return reason at 34% for Amazon and 46% for other retailers

Return surveys reveal that wrong size, fit, or color accounted for the largest share of returns across platforms. The figures provide a historical snapshot of reported return reasons across Amazon and other retailers.

 

17. DHL’s 2025 Ecommerce Trends data found 54% of shoppers who returned products cited incorrect sizing

DHL’s 2025 Ecommerce Trends data found that 54% of shoppers who returned products cited incorrect sizing. This makes incorrect sizing a major reported return driver.

 

18. A 2019 Yotpo survey found 88% of surveyed fashion shoppers had returned an online fashion purchase in the prior year

A 2019 Yotpo survey found that 88% of shoppers had returned fashion items purchased online in the prior year, showing how routine returns had already become for online fashion shoppers.

 

The True Cost of Processing Returns

Returns create financial pressure at every stage of the reverse logistics process.

 

19. 40% of retailers cited higher return-processing costs as a reason for charging return fees

40% of retailers cited higher return-processing costs as a reason for charging for returns. Rising handling, logistics, and operational expenses are pushing retailers to reassess how much of the returns burden they can absorb while still maintaining customer-friendly policies.

 

20. It typically costs a company 66% of the price of a product to process a return

Coresight Research cites an estimate that processing a return typically costs a company 66% of the product’s price. This comprehensive view underscores the importance of returns reduction.

 

21. 67% of brands believe a zero return rate could improve the bottom line by at least 20%

Coresight Research found that brands recognize the substantial profit potential locked in returns reduction. This executive awareness supports investment in returns management technology.

 

22. Only 48% of returned items are resold at full price

Merchandise depreciation means less than half of returned items recover their original value. The remainder sells at a discount, enters secondary markets, or is disposed of entirely.

 

Returns Fraud and Abuse Patterns

Fraud represents a growing challenge requiring policy sophistication and technological countermeasures.

 

23. Approximately 9% of all returns are fraudulent

NRF research indicates that approximately 9% of all returns are fraudulent. At the scale of U.S. retail returns, that represents substantial financial exposure for merchants.

 

24. A December 2023 survey found 23% of consumers admitted to wardrobing

SAP Engagement Cloud research found that 23% of consumers admit to wardrobing, meaning they buy products with the intention of returning them. The study surveyed 2,045 U.S. respondents aged 16 and older in December 2023.

 

Customer Behavior and Expectations

Consumer attitudes toward returns shape what brands must deliver to remain competitive.

 

25. 82% of shoppers say free returns are an important consideration when shopping online

The overwhelming majority of consumers expect cost-free returns when purchasing online. This expectation creates pressure on brands to absorb returns costs.

 

26. 32% of Gen Z shoppers prefer labelless returns

DHL reports that labelless returns, which allow customers to use a QR code instead of a printed label, are preferred by 32% of Gen Z shoppers. This highlights demand for more convenient digital return experiences.

 

27. 79% of online shoppers would abandon a purchase if the return policy does not meet their expectations

DHL’s Ecommerce Trends data found that 79% of online shoppers would abandon a purchase if the return policy does not meet their expectations. The return policy therefore plays a direct role in purchase conversion.

 

28. 71% say a bad returns experience makes them less likely to shop with a retailer again

Poor returns handling damages long-term customer relationships with lasting impact. The stakes extend well beyond the individual transaction.

 

29. Shoppers aged 18-30 made an average of 7.7 online returns in the last 12 months

Younger consumers return at significantly higher rates than older demographics. Brands targeting younger audiences face elevated returns pressure.

 

30. In a June 2022 survey, 54% of recent apparel and footwear buyers had made a return in the prior 90 days

In that June 2022 survey, more than half of recent apparel and footwear buyers had recent return experience, making returns a regular touchpoint in the customer journey.

 

Seasonal and Promotional Impact on Returns

Returns volume fluctuates with shopping patterns, creating operational planning challenges.

 

31. Retailers expected 17% of 2025 holiday sales to be returned

Ahead of the 2025 winter holiday season, retailers expected 17% of holiday sales to be returned. The post-holiday returns expectation created concentrated pressure on operations. Brands need solutions that can scale during peak periods without proportional cost increases.

 

Technology Adoption and Retailer Response

Brands are deploying technology solutions to address the returns challenge.

 

32. A 2023 survey found 85% of apparel brands and retailers either used or planned to implement virtual try-on tools

The vast majority of surveyed fashion brands recognized the potential of visual sizing technology to reduce returns. This adoption signaled industry commitment to addressing root causes.

 

33. 66% of retailers had begun charging for at least one return method

Return fees are increasingly common, with 66% of retailers charging for at least one return method. This shift reflects growing pressure on retailers to manage the cost of reverse logistics.

 

34. 85% of merchants say they’re using AI or machine learning in their returns process

AI adoption in returns management has become mainstream among ecommerce merchants. The question is no longer whether to use AI but which capabilities to prioritize.

 

35. 64% of merchants said updating their returns process was a near-term priority

NRF’s 2025 Retail Returns Landscape research found that 64% of merchants said updating their returns process within the next six months was a priority.

 

36. In a 2023 survey, 80% of retailers with size-recommender tools reported increased conversion

Sizing technology delivered commercial benefits beyond returns reduction through improved purchase confidence. The dual benefit strengthens the investment case.

 

37. Virtual try-on tools can reduce size-related returns by up to 64%

Visual sizing technology shows strong efficacy in reducing the single largest return driver. This impact potential makes sizing tools a priority investment.

 

Operations and Third-Party Logistics

Operational structure significantly impacts returns efficiency and cost.

 

38. 40% of retailers bring in third-party logistics providers for the holiday season

Peak returns periods create additional logistics demand. For the 2024 winter holiday season, 40% of retailers reported seeking additional support from third-party logistics providers. Seasonal outsourcing can provide additional capacity when return volumes spike.

 

Why Agentic Post-Purchase CX Changes the Returns Equation

The statistics above reveal a fundamental tension: customers expect seamless, free returns while processing costs threaten profitability. Traditional approaches force brands to choose between customer experience and operational efficiency.

 

Agentic AI offers a different path. Rather than routing customers through separate returns portals or making them wait for human agents, AI that can execute returns directly within the conversation addresses both sides of the equation:

 

• The customer gets immediate resolution without system handoffs
• The brand avoids the cost of multi-system workflows and manual processing
• Returns are completed from initiation to refund in a single conversation
• Customer service costs drop significantly when AI handles the entire workflow

 

This is particularly relevant because customer service represents an important part of the returns workflow. When the AI can handle the return from initiation to completion, including issuing store credit or processing exchanges, the customer service cost equation changes fundamentally.

 

The key architectural distinction is write access. Many AI customer service platforms can look up order information and explain return policies. Fewer can actually execute the return, issue the refund, or generate the shipping label within the same conversation. This execution capability determines whether AI reduces the customer service burden or simply shifts it.

 

How Kodif Automates Returns End to End

Kodif’s platform integrations maintain write access to connected commerce systems, enabling the AI to complete returns rather than explaining what customers should do next. For apparel and footwear brands facing the return rates documented throughout this report, that difference translates to:

 

• Measurable operational savings through reduced manual customer service workload
• Improved customer satisfaction from instant resolution
• Lower fraud exposure through consistent policy application via AI-driven policy engines
• Faster refund processing that protects customer relationships

 

The 38 statistics in this report demonstrate that returns management has evolved from an operational afterthought to a strategic competitive factor. Brands that invest in agentic AI for post-purchase support position themselves to handle returns volume profitably while delivering the seamless experience customers now expect.

 

Frequently Asked Questions

What are the typical return rates for apparel and footwear in ecommerce?

Return rates vary significantly by category and measurement methodology. Apparel typically sees return rates around 20-35%, while footwear ranges from about 25-40%. The wide variation reflects differences in product type, price point, customer demographics, and how brands measure returns.

How does AI improve the returns process for online retailers?

AI addresses multiple aspects of returns management. In customer service, AI can handle return requests, check eligibility, and execute transactions without human intervention. For fraud prevention, AI can identify suspicious patterns across return history. The most impactful AI implementations combine customer-facing automation with transaction execution, allowing the AI to complete returns rather than simply routing customers to separate systems.

What are the key components of effective returns management software?

Effective returns solutions must handle the full return lifecycle: customer communication, eligibility determination, label generation, tracking, inspection workflow, and disposition decision. The most valuable platforms integrate directly with commerce systems to execute transactions, maintain policy flexibility to accommodate different scenarios, and provide visibility into returns patterns for continuous improvement.

How can a retailer reduce the operational costs associated with product returns?

Cost reduction opportunities exist at every stage of the returns process. On the front end, better product information and sizing tools can reduce avoidable returns. In customer service, automation can reduce manual handling for eligible requests. In logistics, network optimization and local consolidation can reduce shipping expenses. Customer service is a particularly relevant area to evaluate because it represents a meaningful component of the returns workflow.

What is the difference between AI that answers questions and AI that executes transactions?

Most AI customer service platforms can retrieve information and provide responses but depend on external systems for transaction execution. When those systems lack the necessary endpoints, the AI cannot complete the workflow and must hand off to humans. AI platforms with write access to commerce systems can execute returns, issue refunds, process exchanges, and generate store credit directly within the conversation. This distinction determines whether AI reduces workload or simply changes its form.