Case Study: Bluestem Brands cuts $5M+ in annual friendly-fraud losses and speeds approvals 20%+ with Fraud.net

Transforming Bluestem Brand’s Fraud Detection and Prevention

Bluestem, a consumer lender and online retailer (parent of seven eCommerce brands with $1.5B in annual sales), was battling friendly chargebacks, synthetic identity fraud and account takeovers across a fragmented, acquisition-built portfolio. The lack of a unified fraud system left the fraud team mired in manual reviews, poor visibility, slow turnaround and a degraded customer experience, so Bluestem engaged Fraud.net to reduce fraud, lower false positives and create a more frictionless process.

Fraud.net delivered an AI-based fraud detection platform with analytics, data orchestration, a unified dataset, a data consortium and linked-entity visualizations, automating review workflows and centralizing insights. The Fraud.net solution freed Bluestem’s team from tedious manual work and produced measurable impact: more than $5M in annual reduction of Friendly Fraud losses, a 60% drop in Friendly Fraud rate, and 20%+ faster time-to-approve good customers, improving review timeliness and team efficiency.

Bluestem