Case Study: a Fortune 500 retailer saves $6M with GraphAware Hume

Fortune 500 Retailer adopts Fraud Analysis with GraphAware Hume

A Fortune 500 retailer faced a significant challenge with fraudsters who exploited its friendly return policy. Scammers created numerous user accounts to falsely claim refunds for undelivered or damaged goods. To combat this, the retailer partnered with GraphAware and its graph-powered intelligence analysis platform, Hume.

GraphAware implemented the Hume platform to create a knowledge graph that automatically ingested all user accounts and order details. This solution used advanced analytics to identify fraudulent linkages between accounts, dramatically improving detection. As a result, the retailer exceeded its scam detection KPIs by 300% and saved an estimated $6 million within just six months of deployment.