As generative AI tools explode in popularity, making it easier than ever for anyone to digitally alter images, Rackhams, the iconic online department store marketplace is deploying cutting-edge AI-powered image-forensics to ensure all customer returns and complaint claims are authentic.
The move reflects growing concern across the retail sector that AI-enabled image editing could be used to exaggerate or fabricate product faults. While such instances remain rare, Rackhams.com says early indicators and wider industry trends make it essential for marketplaces to act now. The new “AI vs AI” safeguard is designed to protect honest customers, support retail partners and preserve trust across the returns process.
AI is policing AI
Rackhams’ new system examines uploaded photos for signs of tampering, from unnatural lighting and anomalous textures to pixel-level inconsistencies typical of image editing, helping flag suspicious claims before a return is accepted.
According to internal estimates, the UK retail industry loses an estimated £1.5 billion per year to fraudulent returns and false damage claims. With generative-AI widely available, Rackhams predicts that this figure could rise by 20–30% over the next two years if action isn’t taken. By introducing image-forensics, Rackhams expects to reduce its own returns fraud rate by up to 40% within 12 months.
Why Rackhams Is Acting Now
AI-driven tools have lowered the barrier to fraud. Advanced apps now allow non-experts to convincingly add scratches, dents, tears, stains, holes or discoloration, making fake claims increasingly hard to spot with the naked eye.
Marketplaces are particularly vulnerable. With hundreds of sellers and thousands of products listed, it’s difficult to validate every return visually, especially as images may be taken days after purchase or under different lighting conditions.
The incentive behind manipulated claims
In many suspected cases across the retail sector, the objective isn’t necessarily to return the item at all. Instead, manipulated images are often used to support compensatory requests for either a partial refund, replacement unit or store credit, with the alleged damaged item retained or disposed of by the customer.
Lower-value products are particularly vulnerable, as the cost of return shipping, inspection and processing can outweigh the value of the item itself, making it commercially impractical for retailers to request a return. As AI image-editing tools become more accessible, this imbalance creates a growing risk that opportunistic misuse could scale rapidly if left unaddressed.
Protecting honest customers
The vast majority of customers behave honestly when returning goods and Rackhams is clear that these new checks are not designed to penalise genuine claims. Instead, the technology helps protect honest customers from delays, unnecessary follow-ups or unfair suspicion, allowing legitimate issues to be resolved quickly and fairly.
Retailers will always want to continue offering faster resolutions that can help compensate for damage during transit, miss picks and other issues, which inevitably crop up from time to time, but this will become much harder as more AI-driven fraudulent claims hit companies finances.
