Comprehensive data on ecommerce cancellations, returns, and cart abandonment, and how agentic post-purchase automation helps brands resolve customer requests.
The ecommerce industry faces an ongoing challenge: an estimated 19.3% of online sales were expected to be returned in 2025, while merchandise returns across all U.S. retail channels were projected to reach $849.9 billion in returns.
For brands managing high volumes of post-purchase requests, the gap between customer expectations and operational capabilities continues to widen. Platforms like Kodif’s Resolution Agent address this challenge by combining AI intelligence with transaction execution, enabling brands to resolve eligible order changes, cancellations, and returns directly within customer conversations rather than routing shoppers through separate portals or manual workflows.
Key Takeaways
- Returns represent a massive operational challenge. The NRF projected $849.9 billion in returns across U.S. retail in 2025, equivalent to 15.8% of annual retail sales.
- Cart abandonment remains widespread. Baymard Institute reports a 70.22% average abandonment rate, based on 50 studies.
- Unexpected costs disrupt checkout. Baymard’s 2026 research found that 40% of surveyed shoppers who abandoned checkout for reasons other than browsing cited excessive additional costs.
- Poor returns experiences drive customers away. 71% of surveyed consumers say they are less likely to shop with a retailer again after a poor returns experience.
- Apparel returns create significant operational pressure. Coresight Research estimated a 24.4% apparel return rate in the U.S. for the 12 months ending March 2023.
- Transaction access expands automation potential. Kodif identifies 35–40% automation as a common ceiling for API-layer AI CX platforms with limited write access, while its post-purchase-native architecture has achieved 60%+ end-to-end email automation for a customer.
Understanding the ‘Why’ Behind Ecommerce Order Cancellations
Order cancellations and abandoned purchases follow patterns tied to customer intent, pricing friction, and delivery expectations. While cart abandonment happens before an order is placed, many of the same concerns can influence post-purchase cancellation requests. Understanding these patterns helps brands identify opportunities to improve conversion and reduce unnecessary order losses.
1. 42% of shoppers abandon carts because they are just browsing
Baymard Institute’s 2026 research found that 42% of shoppers in the U.S. had abandoned a cart because they were browsing or not ready to buy. This highlights an important distinction between natural shopping behavior and preventable checkout friction. Brands should focus recovery efforts on shoppers with purchase intent rather than treating every abandoned cart as an immediate lost sale.
2. 40% abandon due to unexpected extra costs like shipping, taxes, and fees
Unexpected charges remain a leading cause of cart abandonment. Baymard’s 2026 research found that 40% of surveyed shoppers who abandoned checkout for reasons other than browsing cited excessive additional costs. Transparent pricing throughout the shopping journey can reduce uncertainty and help customers make informed purchasing decisions.
3. 12% abandon checkout when total order costs are not available upfront
According to Baymard Institute, 12% of surveyed shoppers who abandoned checkout for reasons other than browsing cited the inability to see or calculate total order costs upfront. Providing shipping estimates, taxes, and fee breakdowns before checkout helps shoppers understand what they will pay before placing an order.
4. 20% abandon checkout because delivery is too slow
Delivery expectations influence purchase completion. Baymard’s 2026 research found that 20% of surveyed shoppers who abandoned checkout for reasons other than browsing cited slow delivery. Accurate estimated delivery windows help shoppers evaluate whether an order meets their needs before completing a purchase.
5. 18% abandon checkout when forced to create accounts
Mandatory account creation contributes to checkout abandonment. Baymard found that 18% of surveyed shoppers who abandoned checkout for reasons other than browsing cited required account creation. Guest checkout and streamlined registration can reduce unnecessary steps between product selection and purchase completion.
6. 17% abandon checkout because the process is too complicated
Baymard’s 2026 research found that 17% of surveyed shoppers who abandoned checkout for reasons other than browsing cited a checkout process that was too long or complicated. Simplifying forms, reducing unnecessary fields, and eliminating repetitive steps can make checkout easier to complete.
7. 70% of online shoppers have abandoned carts because of shipping costs
ICSC’s 2026 Cost of Convenience survey found that 70% of online shoppers had abandoned their carts because of shipping costs. This finding reinforces the importance of transparent delivery pricing. Offering clearly explained shipping options helps customers evaluate the full cost of their purchases.
The Landscape of Order Cancellation: Market Benchmarks and Platform Standards
Understanding industry benchmarks helps brands evaluate their performance and identify operational improvements. Cancellation, abandonment, and return rates measure different stages of the customer journey, so each should be tracked separately.
8. 13% abandon checkout because of unsatisfactory return policies
Baymard’s 2026 research found that 13% of surveyed shoppers who abandoned checkout for reasons other than browsing cited an unsatisfactory returns policy. Return conditions influence purchasing decisions before an order is placed. Clear eligibility rules, refund timelines, and return instructions can reduce uncertainty.
9. Amazon requires seller-fulfilled pre-shipment cancellation rates below 2.5%
Amazon requires sellers to maintain a cancellation rate below 2.5% for seller-fulfilled orders. This metric measures seller cancellations over a seven-day period and excludes qualifying buyer-requested cancellations. Exceeding the threshold can put seller-fulfilled offers at risk of deactivation.
10. The average documented cart abandonment rate is 70.22%
According to Baymard Institute, the average cart abandonment rate is 70.22%, based on 50 studies. This represents shoppers who add items to their carts but do not complete purchases. Better checkout design and relevant follow-up communication can address some preventable abandonment.
11. 19.3% of online sales were estimated to be returned in 2025
The National Retail Federation estimated that 19.3% of online sales would be returned in 2025. This projected rate highlights the operational challenges ecommerce brands face when processing returns, exchanges, and refunds at scale.
12. 16.9% of total U.S. retail sales were estimated to be returned in 2024
The National Retail Federation estimated an overall 16.9% retail return rate for 2024. This figure covers retail sales across channels and highlights the operational importance of efficient post-purchase workflows.
13. U.S. retail return rates increased from 8.1% in 2019 to an estimated 16.9% in 2024
NRF’s historical data show that the overall U.S. retail return rate rose from 8.1% to 16.9% between 2019 and the 2024 estimate. This comparison demonstrates how returns became a larger component of retail operations over the period.
14. Online purchase return rates reached 15.2% versus 5% for in-store purchases
ICSC’s 2024 consumer research reported a 15.2% online return rate compared with 5% for in-store transactions. The difference illustrates the additional challenges ecommerce brands face when customers cannot physically examine products before buying.
15. 15.8% of U.S. retail sales were projected to be returned in 2025
According to the National Retail Federation, retailers expected returns to represent 15.8% of retail sales in 2025. This projection highlights the scale of reverse logistics and the need for efficient returns processing across retail channels.
Optimizing Your Ecommerce Strategy: Beyond Cancellation, The Power of Order Changes
Cancellation prevention strategies work best when brands offer flexible order modification options. Allowing customers to change eligible orders rather than cancel them can preserve transactions while improving the post-purchase experience.
16. Baymard estimated $260 billion in recoverable U.S. and EU ecommerce orders
Baymard Institute estimated that better checkout design could recover $260 billion in orders, based on a historical $738 billion U.S. and EU ecommerce sales baseline. This is a modeled opportunity from checkout usability improvements, not a current annual recovery total.
17. Baymard estimates 35.26% potential conversion improvement through better checkout
Baymard Institute estimates that the average large ecommerce website could achieve a 35.26% conversion rate improvement by addressing solvable checkout usability issues. Improvements such as simplified forms, guest checkout, and transparent pricing can contribute to these gains. Actual results vary by site.
18. More than 90% of consumers may abandon purchases because of high shipping costs
McKinsey’s consumer research found that more than 90% of respondents said they were likely to abandon an online purchase if shipping costs were high. This stated preference highlights why shipping charges should be communicated clearly before checkout.
19. The average U.S. checkout displays 23.48 form elements
Baymard’s checkout benchmark found that the average U.S. checkout displayed 23.48 form elements by default. Reducing unnecessary fields and simplifying the purchasing flow can help brands address avoidable usability friction.
20. Leading ecommerce checkout flows have an average of 39 potential improvement areas
Baymard’s research found an average of 39 potential improvement areas across the checkout flows of 60 leading ecommerce websites. The findings indicate that even established retailers can identify opportunities to improve their checkout experiences.
21. 90% of consumers are willing to wait two to three days for delivery
According to McKinsey’s 2024 consumer survey, approximately 90% of surveyed consumers were willing to wait at least two or three days for delivery, especially if doing so helped them avoid shipping costs. This suggests that shipping affordability and reliable delivery promises can matter as much as speed.
Category-Specific Return Rates: Where the Biggest Challenges Exist
Return behavior varies across product categories. Understanding these differences helps brands set expectations, improve product information, and invest in returns management where it has the greatest impact.
22. U.S. online apparel orders had an estimated 24.4% return rate
Coresight Research estimated an average 24.4% apparel return rate for U.S. online apparel orders during the 12 months ending March 2023. Fit uncertainty, product presentation, and differing customer expectations contribute to the challenges apparel retailers face.
23. 53% of apparel retailers identified size and fit as a top return reason
In Coresight Research’s 2023 survey of U.S. apparel brands and retailers, 53% of surveyed retailers cited size or fit as a leading reason for online apparel returns. Better sizing tools, detailed measurements, and accurate product information can help address this concern.
24. 85% of apparel retailers use or plan to implement virtual try-on technology
Coresight Research found that 85% of apparel retailers surveyed in 2023 either used or planned to implement virtual try-on tools. These technologies aim to reduce fit uncertainty and help shoppers make more informed purchasing decisions.
25. 60% of surveyed apparel companies reported differences in return frequency across categories
Coresight Research found that 60% of apparel companies reported that certain apparel categories were returned more often than others. Pants, shirts, dresses, and outerwear were among the categories reported as frequently returned in the 2023 survey.
26. 16% of apparel retailers cited color as a leading return reason
Coresight Research’s 2023 survey found that 16% of apparel retailers cited color as a leading reason for online apparel returns. Accurate product photography and consistent color descriptions can help customers understand what they are purchasing.
27. 10% of apparel retailers cited product damage as a leading return reason
In the same Coresight Research survey, 10% of surveyed retailers identified damage as a leading reason for apparel returns. This underscores the role of packaging quality, fulfillment accuracy, and efficient damage-related resolution workflows.
28. Discount department stores recorded 33.2% online returns versus 6.2% in-store
ICSC’s 2024 consumer returns research found a 33.2% online return rate for discount department stores, compared with 6.2% for in-store purchases. This category-specific difference illustrates how return patterns can vary significantly by shopping channel.
29. 29% of surveyed apparel retailers already had size-recommendation tools
Coresight Research found that 29% of apparel retailers had implemented size-recommendation tools in 2023. These solutions help shoppers evaluate product fit before purchasing and give retailers another way to address sizing-related returns.
30. 80% of apparel retailers using size-recommendation tools reported improved conversion
Among the surveyed apparel retailers that already used size-recommendation tools, 80% reported increased conversion. The finding reflects respondents’ reported outcomes rather than a measured conversion lift across the entire apparel industry.
The Financial Impact of Order Cancellations and Returns
Every cancellation and return can carry direct and indirect costs. Shipping, processing, restocking, depreciation, and customer support requirements compound as return volume increases.
31. U.S. retail returns were projected to reach $849.9 billion in 2025
The National Retail Federation projected $849.9 billion in returns for U.S. retail in 2025, representing an estimated 15.8% of annual retail sales. This forecast demonstrates the scale of the post-purchase challenge facing retailers across all channels.
32. U.S. retail returns were estimated at $890 billion in 2024
The National Retail Federation estimated that U.S. retailers would process $890 billion in returns in 2024. This estimate covers the retail industry across channels, illustrating the scale of returns management and reverse logistics operations.
33. U.S. online apparel return processing costs were estimated at $25.1 billion in 2023
Coresight Research estimated that online apparel returns could generate $25.1 billion in processing costs in 2023, excluding merchandise waste. This modeled expense illustrates why returns management affects ecommerce profitability beyond the value of refunded products.
34. U.S. online apparel returns were estimated at $38 billion in 2023
Based on its estimated online apparel return rate and market size, Coresight Research projected $38 billion in returns for U.S. online apparel in 2023. The estimate demonstrates the substantial financial exposure associated with returns in fashion ecommerce.
35. Returns were estimated to reduce offline-based apparel companies’ bottom lines by 28.9%
Coresight Research found that respondents from offline-based apparel companies estimated that returns reduced their bottom lines by an average of 28.9%. The 2023 survey highlights how return-related costs can affect companies with established physical retail operations.
36. 67% of apparel retailers believed eliminating returns could improve profitability by at least 20%
In Coresight Research’s 2023 survey, 67% of apparel retailers believed that eliminating online returns could improve their bottom lines by at least 20%. This reflects a hypothetical scenario reported by respondents, not an achievable industry-wide savings guarantee.
37. 45% of surveyed apparel companies reported rising return rates
Coresight Research found that 45% of apparel companies reported moderately or significantly increasing return rates over the two years preceding March 2023. This historical finding illustrates the operational pressure growing return volumes can create.
38. Offline-based apparel retailers estimated an average $11.34 million bottom-line impact from returns
Coresight Research reported that respondents from offline-based apparel companies estimated an average $11.34 million impact on their bottom lines associated with returns. This survey-based estimate demonstrates the financial importance of monitoring return volume, processing costs, and product recovery.
Enhancing Customer Experience: Metrics That Matter for Order Management
Customer experience during the post-purchase phase influences loyalty, purchase decisions, and brand perception. These statistics reveal what shoppers expect and why returns management matters.
39. 71% of consumers are less likely to shop again after poor return experiences
According to the National Retail Federation’s 2025 research, 71% of surveyed consumers said they were less likely to shop with a retailer again after a poor returns experience. This highlights the importance of resolving post-purchase issues efficiently and consistently.
40. 82% of shoppers consider free returns important when deciding where to buy
The National Retail Federation found that 82% of surveyed consumers considered free returns important when making purchase decisions in 2025. Brands that charge for returns need clear policies and a convenient experience that helps customers understand their options.
41. 76% are more likely to choose an instant refund or exchange option
According to NRF’s 2025 research, 76% of surveyed consumers said they were more likely to choose a return option offering an instant refund or exchange. This preference highlights the value of faster, automated returns processing when transactions are eligible for immediate resolution.
42. More than 95% of consumers prefer free standard delivery over paid expedited shipping
McKinsey’s 2024 consumer research found that more than 95% of survey respondents preferred free standard delivery over paid expedited shipping. The finding suggests that customers often prioritize affordability when choosing between delivery options.
43. 67% of consumers say return fees reduce their likelihood of purchasing online
ICSC’s 2026 survey found that 67% of surveyed consumers said return fees made them less likely to purchase online. Returns policies can influence conversion before an order is placed, making transparent return costs an important part of the shopping experience.
44. 79% of global shoppers would abandon carts without their preferred returns option
DHL’s 2025 ecommerce research found that 79% of global shoppers would abandon their carts if their preferred returns option was unavailable. Offering accessible return methods can help brands accommodate different customer preferences.
45. 56% of online shoppers say retailers are not upfront about return fees
ICSC’s 2026 Cost of Convenience survey found that 56% of surveyed shoppers believed retailers were not upfront about return fees or costs before purchase. Clear policy descriptions help customers understand potential charges before committing to an order.
The Role of Intelligent Automation in Managing Order Changes and Cancellations
Automation is becoming increasingly important for brands handling significant post-purchase volume. However, not all automation systems deliver the same capabilities. The architecture behind AI systems influences whether they can answer questions, retrieve information, or execute transactions.
46. 85% of surveyed merchants use AI to detect or prevent return fraud
According to NRF’s 2025 research, 85% of surveyed merchants said they used AI to detect or prevent return fraud. This indicates significant adoption of AI-based fraud controls among the large U.S. retailers represented in the survey.
47. 9% of retail returns were estimated to be fraudulent in 2025
The National Retail Federation’s 2025 research estimated that 9% of retail returns were fraudulent. This highlights the importance of combining automated returns processing with eligibility checks, policy enforcement, and appropriate fraud controls.
48. 64% of merchants prioritized updating their returns processes in 2025
According to the National Retail Federation’s 2025 research, 64% of surveyed merchants identified updating their returns processes over the following six months as a priority. This reflected continued investment in more efficient post-purchase operations among the surveyed retailers.
For brands looking to overcome automation limitations, platforms that combine AI intelligence with direct transaction access offer a path to more complete resolution. Eligible returns, exchanges, refunds, and order modifications can be executed within customer conversations when the necessary policies and integrations are available.
Device and Channel Differences: Where Orders Go Wrong
Customer behavior varies across shopping channels. Understanding these differences helps brands optimize the experience for app-based shoppers, social commerce customers, and international buyers.
49. 72% of global shoppers primarily shop through retailer or marketplace apps
DHL’s 2026 ecommerce research found that 72% of global shoppers primarily shopped through retailer or marketplace apps. Brands serving these customers need consistent order information, delivery updates, and post-purchase support across mobile experiences.
50. 45% of global shoppers buy through social media platforms
DHL’s 2026 shopper research reported that 45% of global shoppers bought through social media platforms. As social commerce expands the purchasing journey, brands need to provide clear product information, fulfillment expectations, and support across channels.
51. 70% of global shoppers purchase from international online retailers
DHL’s 2026 research found that 70% of global shoppers purchased from online retailers based outside their home country. Cross-border ecommerce introduces additional considerations around delivery expectations, return costs, and customer communication.
Seasonal Patterns and Subscription Business Specifics
Timing matters for order management. Seasonal shopping peaks and subscription dynamics create different operational challenges that brands can prepare for through proactive communication and flexible post-purchase options.
52. Retailers expected 17% of holiday sales to be returned in 2025
The National Retail Federation’s 2025 research found that retailers expected 17% of holiday sales to be returned. This projection highlights the importance of preparing return capacity, staffing, and automated processing workflows for post-holiday demand.
How Kodif Transforms Post-Purchase Operations
The statistics throughout this article reveal a clear pattern: traditional approaches to order management, cancellations, and returns face growing pressure from customer expectations. Brands need automation that can execute transactions, not just answer questions.
Kodif’s Resolution Agent addresses these challenges through its agentic post-purchase architecture. Rather than stopping at order information or directing shoppers to another system, the agent can complete eligible returns, exchanges, refunds, and order changes within customer conversations.
The difference comes down to write access. API-layer AI CX platforms can struggle to complete workflows without the necessary transaction access. By combining AI intelligence with post-purchase execution, Kodif has achieved 60%+ end-to-end email automation for a customer.
Key capabilities that drive measurable outcomes include:
- Transaction execution within conversations: Resolve eligible customer requests without unnecessary portal redirection or manual processing.
- Policy-based automation: Apply customer experience policies consistently across order changes, cancellations, returns, and exchanges.
- Fraud and eligibility controls: Check applicable rules before executing refunds, exchanges, and claims.
- Commerce integrations: Connect customer conversations with the systems responsible for executing and recording transactions.
- Flexible subscription management: Support eligible pauses, skips, frequency changes, and retention actions directly within customer conversations.
The Kodif platform enables CX teams to define policies in plain English, test workflows, and maintain control over automated actions without depending on engineering teams for every change.
For ecommerce brands managing high post-purchase volumes, this creates an opportunity to resolve more eligible customer requests from start to finish while maintaining policy controls and consistent customer experiences.
Frequently Asked Questions
What is the average rate of order cancellations in ecommerce?
Ecommerce cancellation rates vary by industry, product category, marketplace, and fulfillment model. There is no single verified cancellation benchmark that applies universally to online retailers. Amazon requires a pre-fulfillment cancellation rate below 2.5% for seller-fulfilled orders, excluding qualifying buyer-requested cancellations. Brands should track their own cancellation rates and investigate recurring fulfillment, inventory, and communication issues.
How can I reduce order cancellations in my online store?
Effective strategies include providing transparent pricing, offering accurate delivery estimates, enabling eligible order modifications, and communicating proactively after purchase. Brands can also offer customers options to update shipping addresses, change products, or adjust delivery timing instead of requiring cancellation and a new purchase.
What is ‘action-first’ AI in the context of order changes?
Action-first AI refers to systems that can execute eligible transactions directly within customer conversations rather than only retrieving information or providing instructions. With the necessary integrations and permissions, these systems can modify orders, process returns, issue refunds, and execute exchanges without requiring customers to complete separate manual workflows.
Do flexible order change policies lead to higher customer satisfaction?
Flexible order policies can make it easier for customers to resolve problems without canceling their purchases. NRF’s 2025 research found that 76% of surveyed consumers were more likely to choose return options offering instant refunds or exchanges. The impact of order modifications on satisfaction and retention depends on the policies offered and how effectively brands implement them.
How does AI help in managing refund and cancellation requests?
AI automation can resolve eligible refund and cancellation requests by retrieving order details, checking policies, and executing approved actions through connected commerce systems. A Kodif customer achieved 60%+ email automation using the platform’s post-purchase-native architecture, demonstrating how transaction access can support more complete workflow resolution while maintaining policy controls. Human agents can focus on exceptions and cases that require judgment or additional review.
