AudaTarget’s Predictive Analytics Steer Vehicles to the Optimal Shops for Repairs

Insurance companies need a solution that intelligently sources the best shop to send their customers to. That solution? AudaTarget. The next-generation, online decision-support platform from Audatex integrates and analyzes two years' worth of vehicle and repair data. The solution provides real-time information to insurers to help them determine if a vehicle involved in an accident is repairable or not, and if so, which shop is the best choice to make the repair, all based on historical data.
"AudaTarget is unique in the marketplace. It brings together historical data with predictive analytic models to accurately predict costs for repairs and enable insurers to make the most informed decisions about the claims journey," says
Currently, most insurers rely on average repair costs when estimating the price of repairs and evaluating shops' performance. However, this method does not evaluate the make, model and year of the vehicle as well as other essential information. The same repair, for example, will cost more for a new luxury sedan than an older economy car. AudaTarget uses a normalized score to understand which repairs came in under, at, or over the estimation.
"AudaTarget analyzes two years of historical data to allow insurers to make fact-based decisions about repairs," Suarez says. "This solution enables insurers to drive efficiencies and improve customer service at every step of the claims process while controlling cost when they choose the right repair shop. It's a win for insurers, customers and quality repair shops."
About Audatex
Audatex gathers intelligent data and develops software systems that streamline the entire claims process. Its solutions bring transparency and efficiency to the collision repair and claims industries with innovative solutions that cover the claim life cycle, from first notification of loss to settlement. For more information, please visit audatex.us/AudaTarget.
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SOURCE Audatex


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