A global food delivery platform with over 100 million monthly active users was rapidly expanding. However, they were also suffering rampant promotion abuse and buyer-seller collusion, and every new territory brought unique new fraud attacks their existing systems couldn’t detect in time. They elected to implement DataVisor’s dVector solution, and subsequently achieved a 300% detection uplift and saved $6M in annual fraud losses. Download the case study to: Learn how to stop promotion abuse at the gateSee how hidden buyer-seller collusion can be exposed with holistic data analysisDiscover how unsupervised machine learning enables proactive detection of new and unknown attacks