Returns & CX Mar 19, 2027 6 min read
How to Detect Fraudulent Fashion Returns
Fashion return fraud costs retailers $20B+ annually. Common types: wardrobing (wear once, return), swap fraud (return knockoff), false damage claims. Detection + deterrence.
The Chart
| Fraud Type | Pattern | Detection |
|---|---|---|
| Wardrobing | Worn item returned | Tag tampering, wear marks, smell |
| Swap fraud | Original returned with knockoff | Item authentication, photos at receipt |
| False damage | Claim damage to get free return | Pre-shipping QC documentation |
| Empty box | Customer claims 'I never received' | Tracking with delivery photo proof |
| Identity fraud | Stolen credit card returns | Email/IP/payment cross-check |
FAQs
Apps for fraud detection?
Signifyd, Riskified, Forter, Kustomer. Use existing fraud-protection on payments. Loop and Returnly flag suspicious return patterns.
Public fraud reporting?
RILA (Retail Industry Leaders) shares fraud database among retailers. Some private services (Verifi, ClearSale) help. Repeat offenders get blacklisted across networks.
Need this on your store?
Tailor Size Guide ships pre-built size charts for Shopify.