An evolving economy and new business models make timely, reliable data and analytics more vital than ever for your commercial auto portfolio.
52 percent of high-level industry codes (defined by 2-digit NAICS) are typically inaccurate in an insurer’s book. An incorrect code can lead to premium leakage or overage, severely impacting profitability.1
Our commercial auto underwriting tools come together to fundamentally change your underwriting process, bringing speed, accuracy, efficiency, and ease of use. Comprehensive risk assessment solutions with all the data you need.
Auto-populate verified commercial auto data such as VIN, vehicle specifications, and registration information to operationalize underwriting commercial vehicles. Be more productive and quote more quickly and reliably.
Find where vehicles are operated with advanced visual vehicle sighting technology reporting location information. Identify and capture premium leakage due to radius and territory misclassification.
See specific, granular, reliable, and current data on vehicles to help price and rate commercial auto policies quickly, with fast delivery through our application programming interface (API).
Set more accurate premiums and validate claims with extensive, reliable history of covered vehicles. Get the data you need in one place.
See how a top auto insurer innovated with Verisk to meet today’s competitive challenges with smart strategies that improve return on investment.
Reliable business firmographics are vital, but half of commercial auto insurers’ customers may have the wrong code. Detailed NAICS and SIC classifications from Verisk show the nature of the business—and you get in-depth data such as relative credit grade, commercial credit score, and years of operation.
Increasing speed is becoming the norm for auto insurance quotes, driving digital transformation and data-forward strategies.Read the article
Here's the difference between an insurance rating engine that uses ISO Electronic Rating Content™ (ISO ERC) and one that doesn't.Read the article
Competition and growing digital information sources demand that auto insurers balance underwriting data consumption with cost efficiency.Read the article