Return Fraud Detection
Score every return for fraud risk and auto-refund clean shoppers while abusers go to human review.
A shopper files 12 returns in two months, each claiming a defect. The system spots the pattern and routes the request to manual review before the refund auto-fires from your account.
How it works
- Read shopper history: Return count, return-to-order-value ratio, payment method, and claim timing for every customer.
- Score each request: An XGBoost or LightGBM model assigns a fraud score per return: 0 is clean, 100 is highly suspicious.
- Route the queue: Flagged returns ask for a photo or inspection before payout. Clean shoppers are refunded instantly.