The client faces difficulties implementing a data-intensive, behavioral-based risk assessment model that relies on accurate driving data collection and sustained user engagement. Traditional models lack the personalization and incentive mechanisms needed to promote safer driving behaviors, risking lower customer retention and higher insurance risks.
A mid-to-large scale insurance provider aiming to enhance customer engagement and risk assessment through innovative telematics solutions.
The implementation of this telematics-based insurance platform is expected to improve customer engagement and safety, leading to enhanced risk assessment precision, potential cost savings, and increased customer loyalty. A successful deployment and user transition aim to support over 40,000 active users, providing actionable insights and motivating safer driving behaviors through gamification, ultimately reducing insurance risks and operational costs.