Current Situation
Minimal automation of correctly identifying and preventing customer and product fraud. Current systems are rules based, return high numbers of false positive alerts, and are easily exploited.
Goals and Objectives
Apply customer and product fraud management technologies that utilize anomaly detection, customer scoring, and product sourcing and tracking to identify and prevent fraudulent products and transactions.
Technology Deployed
AI, analytics, video, edge, cloud, and fraud detection software
Use Case Summary
Next-generation fraud management will identify potential sources of both product and customer fraud to stop it before it happens with minimal false positives.