LexisNexis® Commercial Data Prefill
Automate your commercial underwriting with a comprehensive commercial data prefill solution.
Today’s commercial underwriting process is lengthy. As a commercial carrier, you may find yourself spending an average of three to four days completing a single quote.* What’s more, many commercial carriers are still using paper applications, mobile scanning devices or basic business information to underwrite policies.
You need a comprehensive prefill solution that delivers accurate data, reduces manual inputs and minimizes rate leakage to gain a holistic understanding of the risk without sacrificing the time to bind.
LexisNexis® Commercial Data Prefill is the answer. It delivers information on firmographics, vehicles, drivers and properties to help automate the commercial application process from point of quote through underwriting. It leverages more accurate data drawn from multiple sources that are linked with our proprietary linking technology and LexID®, our unique identifier.
*LexisNexis® Risk Solutions Market Research Study, 2023.
- Improve profitability
- Increase efficiency
- Reduce premium leakage
Commercial Data Prefill can help you:
Evaluate a more complete view of the risk
Make quoting and underwriting more efficient
Avoid errors that cause premium leakage
Increase the volume of policies underwritten
Improve profitability
Expand each section to learn more about the data you could access.
This information provides high-level insight into the risk characteristics of the business to include data elements across all standard lines of business. You can also link businesses to legal entities, even complex organizational structures, and keep track of the holistic risk that comes through your door.
- Examples of firmographics data include:
- Eight-digit SIC
- Eight-digit NAICS
- Annual sales
- Number of employees
- Year the business started
- Business LexID®
Access data about a company’s vehicles and data about the drivers associated with a business. The solution returns VINs associated with the business and a variety of vehicle attributes.
- Examples of vehicle data include:
- Year, make, model
- Cost new
- VIN
- GVW
The solution returns a variety of data elements about the commercial building associated with the business address.
- Examples of property data:
- Year built
- Construction type
- Square footage
- Number of stories
