Problem Summary
Retailers lose millions to return abuse—empty-box returns, high-return-rate profiles, did-not-arrive claims, and policy manipulation. Manual review teams struggle to differentiate legitimate buyers from serial abusers.
How Verafye Solves It
Verafye scores return requests using behavioral context, historical transaction patterns, delivery consistency indicators, and device profiles associated with abuse. It identifies customers whose return patterns deviate sharply from normal buyer behavior.
Key Capabilities Used
- Return-behavior profiling
- Claim history and delivery-match analysis
- Device-based abuse detection
- Buyer pattern deviation scoring
- Logistics-behavior correlation (order–delivery–return mapping)
Business Impact
- Reduced policy abuse and fraudulent refunds
- Better control over repeat offenders and return-heavy users
- Less strain on customer support teams
- Improved margins due to lower refund-related losses
- Stronger policy enforcement without affecting genuine buyers