Happy Returns tests AI system as 2025 return fraud hits $76.5 billion
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Data from UPS-owned reverse logistics company Happy Returns shows that nearly one in 10 retail returns in the United States involve fraud. Retailers now lose an estimated $76.5 billion annually due to this problem.
To slow these losses, Happy Returns, which specializes in boxless in-store returns for online purchases, is testing a new AI tool that flags fraudulent returns before refunds are issued.
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Return fraud costs US retailers billions of dollars, with nearly 1 in 10 returns marked as suspicious, according to Happy Returns data. (Photo: Tim Boyle/Getty Images)
How does rebate fraud work in the real world?
Refund scams often seem harmless at first glance. A customer requests a refund for a legitimate product. Instead of sending the real product, they send a cheaper, damaged or completely different product. Retailers often issue refunds before anyone has inspected the product. This speed allows fraud to go unnoticed and costs to increase.
Industry data from Happy Returns and the National Retail Federation show retailers will process approximately $850 billion in returned merchandise in 2025; this represents almost 16 percent of total retail sales. According to the same study, an estimated 9 percent of these returns are fraudulent. The report also finds that most shoppers admit to some form of return policy abuse. Importantly, because Happy Returns performs personal product verification and uses AI-powered automated flagging plus auditing processes to catch non-conformances, the confirmed fraud rate on its network is much lower than the industry-wide estimate.
Why did unboxed returns change the equation?
Happy Returns operates nearly 8,000 in-person returns pickup locations at stores like Ulta Beauty and Staples, as well as UPS locations. Shoppers may return eligible items without the box or shipping label, and refunds are typically issued quickly after verification. As with any returns channel, fraud attempts can occur, but in-person pickup, product verification, and ongoing marking and inspections help keep confirmed fraud much lower than broader industry averages.
Happy Returns says its boxless, in-person model already blocks many common fraud tactics, including empty boxes, partial returns and fake tracking numbers. “If you never touch the product, you won’t know if the returned product is the same as the product sold.” says the company. Everlane says physical intervention alone is a deterrent. “Knowing that a person will physically check and verify the item at the Returns Bar deters fraudsters from even attempting fraud.” Jim Green, Everlane’s director of logistics and fulfillment, said:
Still, Happy Returns acknowledges that scam tactics continue to evolve. Similar products and knock-offs can look very similar to the real thing, making it difficult to notice subtle differences without close inspection.
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Happy Returns is testing a new AI system designed to flag fraudulent retail returns before a refund is issued. (Photo: Helen H. Richardson/The Denver Post via Getty Images)
How does Return Vision use AI to detect fraudulent returns?
This holiday season, Happy Returns is testing its new AI system with select retailers including Everlane, Revolve and Under Armour, as return volumes soar.
The new AI tool is called Return Vision. It starts working the moment a shopper initiates the online return process. The system looks for unusual patterns in spin timing, frequency and location. A single return alone may seem normal. When these signals conflict suspiciously, the return is flagged for review before the refund is issued.
At drop-off points, employees can scan product barcodes and see photos of what the product should look like. They can immediately reject obvious incompatibilities. When returns arrive at Happy Returns centers in California, Pennsylvania and Mississippi, the marked packages are sent to human inspectors. Items are opened and photographed, including images of the front, back, and identifying labels.
These photos are fed back to the AI system, which compares them with official product images and historical transaction data. Human teams review the AI assessment and make the final decision. The goal is not just automation. It adds multiple layers of scrutiny where fraud is harder to hide.
Early results show how effective AI is at catching refund fraud
Happy Returns says that while it’s still in its pilot phase, Return Vision is showing early results. Less than 1 percent of returns passing through its network are flagged as high risk. Approximately 10 percent of flagged returns were ultimately confirmed to be fraud. The average avoided loss per confirmed case is just over $200.
Happy Returns says the system focuses on high-confidence cases and allows most customers to process returns without delay. The company notes that the tool does not address all types of abuse, such as wardrobes where customers return worn-out items.
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Boxless, in-person returns help retailers reduce common fraud tactics like empty boxes and fake tracking numbers. (Photographer: David Paul Morris/Bloomberg via Getty Images)
Why are retailers turning to AI to stop return fraud?
Happy Returns isn’t the only one using AI to stop return fraud. Amazon and FedEx offer boxless returns and use automated systems to flag risky behavior. The US Postal Service offers similar services. Across retail, 85 percent of surveyed merchants say they use artificial intelligence or machine learning to combat fraud. Many say the results are mixed. Happy Returns says combining behavioral signals with physical product verification helps close gaps that data-only systems often miss.
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Kurt’s important takeaways
Retail returns have changed, and so has the fraud that comes with them. Easy delivery and instant refunds have made life better for shoppers, but they’ve also created new vulnerabilities. Happy Returns believes that AI combined with hands-on review could tip the balance in favor of retailers. Early results suggest it may be helpful, if not a cure-all. As fraudsters adapt, retailers are learning they need to adapt faster.
Should retailers slow down instant refunds if it will help stop return fraud, or should convenience always come first? Let us know by writing to us. cyberguy.com
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