Case Study: Leading Global Insurer reduces loss ratio with BRIDGEi2i Analytics Solutions

Automatic detection of trend variations in loss ratio for a global insurance major

Leading Global Insurer company needed a way to detect unusual variations in long-term loss ratio trends and identify the root causes across multiple business dimensions so underwriters could price portfolios more effectively. BRIDGEi2i Analytics Solutions addressed this challenge using its Watchtower™ accelerator, along with data extraction and aggregation across multiple levels of granularity.

BRIDGEi2i Analytics Solutions linked policy and claims data, built dimensional hierarchies using machine learning, and analyzed KPIs such as loss ratio, claim severity, frequency, average premium, and large losses. The solution delivered early warning signals for anomalies and supported dynamic price interventions, helping achieve a 200 reduction in ultimate loss ratio and a 90% reduction in analysis time.