Case Study: Walmart strengthens marketplace seller risk detection with TigerGraph

Walmart strengthens seller risk detection with TigerGraph in near real time

The customer, Walmart, faced the challenge of needing to detect risky or fraudulent marketplace sellers faster. Their Seller Risk team struggled to identify bad actors who appeared normal in isolation, as risk was only visible through shared attributes like devices, emails, and IPs. To address this, they turned to vendor TigerGraph for a graph-powered solution.

TigerGraph implemented a solution that connected sellers and their various attributes into a comprehensive relationship network. This allowed Walmart to identify hidden risk patterns, links to known bad actors, and signals of account takeovers. The results were a stronger, more proactive Seller Risk platform that improved onboarding decisions, identified compromised accounts earlier, and scaled to support the marketplace's growth.

Walmart