Case Study: Large Asia P&C Insurance Leader Company achieves price optimization and improved loss ratio with BRIDGEi2i Analytics Solutions

Demand elasticity estimation and price optimization for an Insurance major

BRIDGEi2i Analytics Solutions worked with a large Asia P&C Insurance Leader Company to improve pricing decisions for its Australia business. The insurer needed to understand price elasticity, simulate expected loss cost and conversion propensity at different premium levels, and maintain a balanced portfolio of low-, medium-, and high-risk customers while staying competitive.

BRIDGEi2i Analytics Solutions delivered a data integration and feature engineering framework, along with conversion and loss cost prediction models, to power an algorithmic price optimization engine. The solution analyzed how premium changes affected conversion and expected loss, helping the client set optimal prices, improve portfolio quality, and maintain profitability. The business impact included an 800 bps increase in GWP and a 10%+ reduction in ultimate loss ratio.