A growing concern in the e-commerce space is the use of AI-generated fake damage photos to claim refunds. While this tactic has been reported on Shopify and eBay, FBA sellers are asking whether this is happening on Amazon — and whether Amazon’s return inspection process is catching it before refunds are issued.
The Risk & Current Unknowns
- Where it’s happening: AI-generated damage claims are confirmed on open-channel platforms (Shopify, eBay) where seller appeal processes may be weaker or more manual.
- Amazon’s potential advantage: FBA returns are inspected by Amazon fulfillment centers before any refund is processed, which theoretically adds a human verification layer that open channels lack.
- The gap: It remains unclear whether Amazon’s inspection teams are systematically trained to spot AI-generated imagery, or whether sophisticated fakes are slipping through undetected.
- Seller visibility: Most FBA sellers have limited insight into why a return was approved or what Amazon’s inspection team actually verified.
What This Means for Your Account
- False damage claims — whether AI-generated or genuine — still hit your metrics (return rate, defect rate) and can impact account health over time.
- If you suspect a return was fraudulent, you have limited appeal tools; Amazon’s return decision is typically final from the seller side.
- Tracking patterns (unusual clusters of damage claims on specific ASINs or during specific periods) may help you spot potential fraud, but this requires manual digging.
How Squatio Helps
Squatio Decode (ASIN lookup, listing visibility & Sentiment IQ review analysis) lets you monitor detailed review and return sentiment across your catalog in one view. While Squatio doesn’t bypass Amazon’s return system, having visibility into where false damage claims are clustering — by ASIN, by time period, or by customer patterns — helps you identify trends faster and make data-backed decisions about whether a listing or product line warrants deeper investigation or reformulation.
Have you encountered what you suspect to be a fraudulent damage claim in FBA? Did anything in the return or customer profile stand out, and how did you handle it?