Case Study: a large motor insurance provider improves risk accuracy and retention with Zymr's AI-powered telematics platform

a large motor insurance provider cuts accident frequency by 20% with Zymr

The customer, a large motor insurance provider, faced challenges modernizing its risk assessment and engagement processes using traditional actuarial models. This led to inaccurate pricing and customer dissatisfaction. To address this, the insurer partnered with vendor Zymr to design and implement a cloud-native, AI-powered telematics platform.

Zymr's solution involved building a scalable data ingestion pipeline and AI-driven risk scoring models to evaluate driving behavior. This enabled dynamic pricing and real-time driver feedback tools. The implementation by Zymr resulted in a 20% reduction in accident frequency, improved risk segmentation accuracy, higher customer retention rates, and increased adoption of usage-based insurance products.