“Item arrived damaged” is one of the most common post-purchase claims in ecommerce, and one of the most abused. The legitimate version is a shipping casualty that deserves a fast refund or replacement. The fraudulent version is a shopper claiming damage that never happened, or inflicting it, to keep the item and the money.
How Damaged Item Claims Get Abused
The abuse patterns: claiming damage on a perfect item to negotiate a refund without a return, submitting reused or manipulated photos as evidence, damaging an item after use to qualify for a refund, and filing the same claim across many orders or merchants using a script. Because brands rightly want to resolve genuine damage quickly, these claims are often refunded with little verification, which is exactly what makes them attractive. AI image generation has made fake damage photos cheap to produce, raising the bar on photo evidence alone.
Separating Real Claims from Abuse
The item tells you little; the identity tells you a lot. A first damage claim from a customer with years of clean history is almost certainly genuine. A third damage claim this quarter, from an account whose refund ratio dwarfs its spend, is a pattern. Useful evidence includes claim frequency per identity, photo forensics (metadata, reuse detection, AI manipulation detection), carrier handling data for the shipment, and whether the claimed damage is plausible for the packaging used.
How Wyllo Helps
Wyllo Return Fraud and Abuse Prevention was built for exactly this claim type: it combines identity signals, order history, delivery outcomes, refund behavior, and AI image manipulation detection into one risk score, so genuine damage gets the instant resolution it deserves and manufactured damage gets verification.
Frequently Asked Questions
Should merchants require photo evidence for damage claims?
Photos help but no longer settle the question, since convincing fakes are easy to generate. Photos work best combined with identity-level claim history and image forensics rather than as standalone proof.
Should damaged items be returned before refunding?
Requiring returns on every damage claim adds cost and friction for genuine victims. Risk-based handling works better: instant resolution for trusted identities, return or verification for identities whose claim pattern warrants it.
How does this claim relate to item not received fraud?
They are siblings in the false claim family: INR fraud denies the delivery happened, damage fraud denies the delivery was good. Both monetize the merchant’s bias toward taking the customer’s word.
