Deep Dive: How to Tackle Return Fraud Without Losing Customers
Retail Remix · with Vishal Patel & Pedro Ramos · September 11, 2025 · 27 min
Summary
Retailers lose billions annually to return fraud and abuse. This episode exposes the scale of the problem (over $100 billion from fraud alone) and differentiates between professional organized retail crime and common customer abuse. Learn how AI-powered authorization engines can provide intelligent friction to deter fraudsters while improving the returns experience for 99% of legitimate customers across all channels, boosting satisfaction and protecting profits.
Key takeaways
The total cost of returns is over $685 billion annually, with fraudulent and abusive returns accounting for $103 billion, significantly impacting retail margins.
Differentiate between organized retail crime (professionals stealing and returning merchandise for cash) and customer abuse (e.g., "wardrobing" or buying items for single use and returning), which is often enabled by lenient digital return policies extending to physical stores.
Traditional blanket return policies create conflict and disproportionately penalize good customers while professional fraudsters find workarounds; policies should be flexible and customer-specific.
Implement AI-powered, omnichannel authorization engines that evaluate individual customer profiles to identify and stop fraudulent returns in real-time, removing decision-making burden from store associates, and tailoring policies to customer value. This can lead to a 90% reduction in fraudulent activity.
Recognize that return rates for online purchases are higher than in-store purchases, but a significant portion of online returns are processed in physical stores, leading to increased logistical complexities and costs for retailers if products are not sold in-store or are returned in unsellable condition.
This episode is brought to you by Appriss RetailProduct returns are often seen as a necessary evil — but when return fraud enters the mix, things get a lot more costly, and complicated.In this Retail Remix Deep Dive bonus episode — brought to you by Appriss Retail — guest host Adam Blair (Editor, Retail TouchPoints) takes a closer look at how retailers can cut down on fraudulent returns without sacrificing customer experience.Joined by Vishal Patel and Pedro Ramos of Appriss Retail, the conversation covers:Why the scale of returns fraud is rising—and how it’s evolving;The growing tension between consumer expectations and loss prevention efforts;How retailers can adjust return policies without alienating loyal shoppers;Key findings from Appriss Retail’s latest Consumer Returns in the Retail Industry report;Real-world success stories from retailers tackling this issue head-on.If you’re rethinking your return policy or struggling with increasing return rates, this episode offers strategic insights backed by real data.RELATED LINKS:Explore the latest ORC report from Appriss RetailLearn more about Appriss RetailRead more from Retail TouchPointsCatch up on all episodes of Retail Remix
-----Reduce returns, stop abuse and fraud, and protect your bottom line. Visit ApprissRetail.com to learn more.]]>
What does this episode say about retail & omnichannel?
The total cost of returns is over $685 billion annually, with fraudulent and abusive returns accounting for $103 billion, significantly impacting retail margins.
What does this episode say about ai & automation?
Differentiate between organized retail crime (professionals stealing and returning merchandise for cash) and customer abuse (e.g., "wardrobing" or buying items for single use and returning), which is often enabled by lenient digital return policies extending to physical stores.
What does this episode say about customer retention?
Traditional blanket return policies create conflict and disproportionately penalize good customers while professional fraudsters find workarounds; policies should be flexible and customer-specific.
What does this episode say about retail & omnichannel?
Implement AI-powered, omnichannel authorization engines that evaluate individual customer profiles to identify and stop fraudulent returns in real-time, removing decision-making burden from store associates, and tailoring policies to customer value. This can lead to a 90% reduction in fraudulent activity.
What does this episode say about retail & omnichannel?
Recognize that return rates for online purchases are higher than in-store purchases, but a significant portion of online returns are processed in physical stores, leading to increased logistical complexities and costs for retailers if products are not sold in-store or are returned in unsellable condition.
