Car300 utilizes Galaxybase graph database to integrate a vast amount of vertical domain data accumulated from its proprietary industry app. This data includes user transactions, behaviors, communication, and device information, establishing a comprehensive customer knowledge graph that displays relationships such as person-to-person and person-to-vehicle connections.
Relying on the graph's associative relationships and multi-level relationship networks, data is retrieved thousands of times faster than traditional databases to identify high-risk behaviors. By leveraging individual customer characteristics and community features, Car300 employs graph mining and machine learning algorithms to comprehensively quantify default risk, enabling risk prevention and control throughout the entire lifecycle.