Case Study: Leading Food Delivery Service Provider stops promotion abuse and reaches real customers with DataVisor

Top E-Commerce Platform Leverages DataVisor to Reach Real Customers and Prevent Promotion Abuse

Leading Food Delivery Service Provider, a major food delivery platform in Asia with over 50 million monthly active users, was losing promotional spend to large-scale fake orders, merchant–buyer collusion, mass registrations, emulator-created device IDs, and IP obfuscation. They turned to DataVisor — leveraging its unsupervised machine learning (UML) engine and Global Intelligence Network — because existing fraud tools were too slow to adapt to new markets and evolving attack patterns.

DataVisor deployed its unsupervised ML solution to link accounts, behavioral data, metadata and digital footprints in real time, detecting suspicious clusters even at registration. As a result, DataVisor delivered 99.5% detection accuracy, caught 90% of fraudulent accounts at the point of registration, and achieved a 23% detection uplift, successfully stopping large fraud rings and enabling the client to launch promotions to real customers.