Case Study: Fraud.net achieves 62% fraud reduction in 90 days with Fraud.net's AI-powered Fraud Prevention Platform

FACT SHEET E-Commerce Fraud Prevention Platform

Fraud.net faced the common e‑commerce challenge of delivering fast, frictionless customer service while stopping evolving fraud across multiple channels. Vendor Fraud.net deployed its E‑Commerce Fraud Prevention Platform — a real‑time, AI‑powered solution combining data enrichment, machine‑learning fraud scoring, enterprise case management, and advanced BI — to unify siloed transaction and third‑party data and surface fraud signals quickly.

Fraud.net implemented its cloud platform with Collective Intelligence Network enrichment, models targeting 600+ fraud schemes, and sub‑300ms decisioning plus global workflows for case reviews. As a result, Fraud.net reported a 62% reduction in fraud within 90 days, an 18% drop in manual reviews, and over a 1% lift in sales from fewer false declines, while improving detection accuracy and operational efficiency.

Fraud.net