Case Study: E-Commerce Business achieves real-time AI-driven fraud detection and smarter decision-making with Fraud.net

E-Commerce Business - Customer Case Study

E-Commerce Business faced sophisticated, professional fraud rings and rising friendly fraud that enabled attackers to ship high-value goods to vacant homes and evade detection. To address these challenges the merchant turned to Fraud.net, using its AI-powered rules, scores and real-time enterprise detection and analytics platform to improve decisioning across international and domestic sales.

Fraud.net implemented machine learning, collective intelligence and linked-entity analyses to surface both organized and opportunistic fraud in real time. While the case text does not provide specific numeric outcomes, Fraud.net’s solution delivered faster detection and clearer investigations—reducing the risk of fraudulent shipments and helping the E-Commerce Business make better decisions to lower fraud exposure.