Case Study: Leading P&C Insurer improves subrogation recovery with BRIDGEi2i Analytics Solutions

Subrogation Prediction Using Machine Learning for Property Insurance

Leading P&C Insurer, a North American property and casualty insurance leader, wanted to identify property damage claims with subrogation and recovery potential and generate automated referral reports each week for further investigation. BRIDGEi2i Analytics Solutions supported this need with a machine learning-based recovery scoring solution.

BRIDGEi2i Analytics Solutions used advanced NLP to extract key claim attributes from unstructured text, combined with historical claims, policy, and external data, and integrated the model into the claims adjudication workflow in a cloud environment. The solution improved recovery claim capture and delivered a 25%+ improvement in claims captured for recovery, with direct impact on loss ratio.