Case study: Subrogation Prediction Using Machine Learning for Property Insurance
The client, a leading P&C insurer, wanted to identify property damage claims that have the potential for subrogation & recovery. They also wanted to generate automated referral reports on a weekly basis for further investigation.
How BRIDGEi2i Delivered Value?
BRIDGEi2i developed a machine learning model for a recovery scoring mechanism, leveraging historical claims data, policy data, and external data such as customers’ additional product holding & claim history with other carriers. BRIDGEi2i’s solution helped significantly improve the capture of recovery claims.
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