Case Study: Leading North American P&C Commercial Insurer achieves $100M Incremental GWP with BRIDGEi2i's AI-Driven Product Recommendation Framework

Sales Growth with Ai-Driven Product Recommendation Framework for a P&C Insurer

BRIDGEi2i Analytics Solutions worked with a Leading North American P&C Commercial Insurer that wanted to build an AI-driven product recommendation solution for cross-selling to existing customers. The goal was to give field agents actionable insights to improve sales effectiveness and identify the next best products for each customer.

BRIDGEi2i Analytics Solutions implemented machine learning and collaborative filtering models that integrated proposal, policy, claims, and external customer data to prioritize buyers and recommend relevant products. The solution also used campaign strategy inputs such as purchase likelihood and loss/profitability index, enabling field sales agents and underwriters to take better next actions and driving an estimated $100M in incremental GWP per year, along with a 76%+ higher cross-sell rate.