Insurance Pricing

Insurance Pricing Underwriting Increase Revenue
Use AI for insurance pricing to avoid adverse selection.
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Problem: Getting Insurance Pricing Right is Tricky Business

Too high? Too low? Or just right?  Indeed, AI can be your Goldilocks when it comes to insurance pricing. 

To be profitable in the insurance industry, you must get the price right. Accurate pricing is key for an insurer to avoid being adversely selected against, leading to a healthier bottom line. 

Insurers operate in a very competitive market. With the popularity of comparative raters in the insurance market, prospects can compare prices from many companies instantly and often will go with the lowest price. This undoubtedly puts less sophisticated insurance carriers at a disadvantage and makes them vulnerable to adverse selection especially in segments being mispriced. This results in deteriorating underwriting profits, which ultimately will negatively impact an insurer’s financial strength and its ability to fulfill its promise to various stakeholders.

Solution: Machine Learning Helps Get the Price Right

All insurance policies are good policies if they are priced right. An accurate pricing model relies on an insurer’s ability to find meaningful ways to refine its risk segmentations by evaluating all available attributes, identifying impactful interactions, and making nimble adjustments if needed.

Machine learning models are good at analyzing large amounts of data and identifying interactions among various attributes to achieve the most accuracy. With the increasingly high insurance cost and easy access to different carriers’ quotes, more and more insureds will shop insurance more frequently. This reality makes an accurate pricing model even more critical for an insurer in order to attract and retain the right customers and maintain a healthy bottom line. 

Why DataRobot? AI Makes Modeling Quick and Easy

With the wealth of algorithms in DataRobot, you can be confident that the prices you charge are based on the most accurate model. By automating the many repetitive and time consuming tasks, DataRobot accelerates the model development process. In addition, DataRobot provides built-in insurance specific features, significantly reducing the time needed for rate filing.

Pricing based on a model built with the DataRobot AI Platform is the way to get it just right the first time, every time. 

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Insurance companies are using machine learning and AI to increase top and bottom line through gaining competitive advantages, reducing expenses, and improving efficiencies. They are optimizing all areas of their business from underwriting to marketing in order to make data-driven decisions to lead to increased profitability.