Time to Ex-Hail: How Imagery-Based Roof Age and Geospatial Analytics Can Reduce Hail Losses

Property damage due to hail is at an all-time high, with insured losses over $20B annually. The use of geospatial analytics from aerial imagery and forensic weather data can unlock a deeper understanding of hail risk at the property level and provide new tools for segmenting risk.

In this webcast, we’ll explore a new approach that integrates imagery-based roof age with next-generation hail risk scores via machine learning to improve underwriting decisions and reduce losses.