Case Study: Global Auto Insurance achieves faster claim processing and $1M loss cost savings with BRIDGEi2i Analytics Solutions

Evaluating accident damages to vehicles using computer vision technology

Global Auto Insurance, a global auto insurer, needed a faster way to assess the severity of vehicle damage from accident images so it could accelerate claim payments. BRIDGEi2i Analytics Solutions addressed this challenge with a computer vision-based claims assessment solution built using deep learning.

BRIDGEi2i Analytics Solutions deployed multiple deep learning models trained on historic damaged car data and external non-damaged car images to validate license plates and car models, identify damaged vehicle views, and estimate damage severity. The solution improved image validation and fraud detection by comparing submitted claims with actual images, helping Global Auto Insurance achieve $1M in loss cost savings within 6 months with direct P&L impact.