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Commercial Property Risk Assessment Webinar

Get a more granular view of commercial property risk

LexisNexis® Location Intelligence: A smarter approach to commercial property risk assessment

Weather-related perils continue to drive claims frequency and severities, accounting for more than 65% of all U.S. property losses1. Aerial imagery, property data and regional weather data have become the gold standard for determining a property’s likelihood of future claims, but if you are relying solely on those risk assessment tools, you’re missing critical data points that can provide important intelligence about your potential exposure.

Watch our on-demand webinar to learn about a new approach to commercial property risk assessment that considers actual property and auto claims from the surrounding area in addition to conventional data sources. LexisNexis® Location Intelligence includes actionable insights from proprietary claims data, patented neural network models and imagery-based roof data – automated into your workflow – for a more granular and accurate view of commercial property risk.  This powerful combination of predictive tools and data assets delivers more than 20 times the lift2 compared to traditional loss propensity models.

David Hemry

David Hemry

Senior Director, Commercial Insurance
James Handley

James Handley

Senior Director, Data Science

We’ll explore how Location Intelligence can help your commercial property underwriting team:

  • Enhance precision with state-of-the art AI, predictive models and proprietary claims clustering data for key weather perils, including wind, hail, water freeze risk and more.
  • Streamline underwriting ROI with near real-time insights that help prioritize where to direct resources.
  • Mitigate loss by capturing the right premium for the risk upfront.

Location Intelligence offers a smarter approach to commercial property risk assessment. Learn more by watching the recorded webinar.


1LexisNexis® Risk Solutions Internal Study, 2025.

2LexisNexis® Risk Solutions Internal Study, 2024.

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