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The insurance company needed to collect telematics data from drivers to enable usage-based insurance models while ensuring customer engagement. They required a solution to transform raw driving data into actionable insights for both customers (to encourage data sharing) and internal ML algorithms (to improve risk assessment and create new business opportunities). Legacy systems and lack of real-time driver feedback mechanisms hindered their ability to compete effectively in a data-centric market.
Leading US-based insurance enterprise seeking to innovate through data-driven solutions and agile product development
The solution will enable personalized insurance offerings through behavioral data analysis, improve customer retention via proactive driving insights, and create new revenue streams through data monetization opportunities. The collected telematics data will enhance ML model accuracy for risk assessment while predictive maintenance features will reduce claim frequencies through early vehicle issue detection.