Return and Refund Fraud: How AI Closes the Back-Door to Shrink
De Flow AI Team
Fraud Prevention
Return & Refund Fraud: How AI Closes the Back-Door to Shrink
By De Flow AI Team
The Quietest Shrink Channel
Return fraud doesn't trip alarms or appear on theft cameras — it walks up to the counter and asks politely for money back. Because it hides inside legitimate transactions, it's one of the hardest categories to detect with manual review. And it's growing as return policies loosen to compete online.
The key insight: refund fraud lives in patterns across transactions — the same person, the same SKU, the same employee, again and again. Humans can't see the pattern. AI can.
🎭 The Common Schemes
| Scheme | How It Works |
|---|---|
| Wardrobing | Using an item then returning it as new |
| Receipt fraud | Returning with manipulated or borrowed receipts |
| Empty-box / swap | Returning a damaged or substituted item as pristine |
| Price arbitrage | Buying low, returning for a higher current price |
| Employee collusion | Processing refunds with no customer present |
🔗 How AI Closes the Gap
By linking every refund line to the matching video clip and the customer present (or not present), AI surfaces the tells: a refund with no one at the counter, a SKU returned far more often than it sells, or an employee whose voids spike on their shifts.
"We found a refund pattern that had run for months — same employee, no customer in frame. Manual review never would have caught it. The system flagged it in a week."
— Fraud Investigations Lead, specialty retailer