Mitchell AI

By Allison Preston

San Diego, California -- October 17, 2017 -- Mitchell has announced the launch of Mitchell WorkCenter Assisted Review, which the company says is the first integrated workflow solution to leverage artificial intelligence (AI) for the estimate review process.

By using visual computing to analyze photos, the solution uses machine-learning technology to help identify incorrect replace or repair decisions. Mitchell says this helps insurers review more estimates in less time, while refining estimating guidelines and consistency.

A statement from Mitchell says the technology will help to reduce thousands of hours spent on review time, as well as allowing for more accurate and consistent estimates. Collision Repair magazine has reached out to Mitchell with questions about how the new technology will impact repairers, but responses had not been received at time of publication. Watch for more on this later this week.

“Early pilot tests demonstrated that AI-identified claims consistently reduced the amount of time for the audit and review function per claim by a substantial margin. WorkCenter Assisted Review is designed to provide insurers with a more targeted and efficient review of all claims,” said Olivier Baudoux, Vice President of Product Management and Strategy for Mitchell Auto Physical Damage Solutions.

Mitchell WorkCenter Assisted Review aims to help insurers increase the volume and accuracy of claims review with little to no increase to review resources, as well as improving claims outcomes by enhancing workflow, accuracy and cycle times.

It also claims to benefit operational efficiency by improving and maintaining review accuracy, even as claims volume increases. It is also expected to save reviewer time by identifying potential repair or replace errors.

The company first announced the project with Tractable, an AI solution firm, less than a year ago. Mitchell WorkCenter Assisted Review is available for implementation for Mitchell WorkCenter claims management solution customers in North America.

CCC has also announced an AI service in which an artificial intelligence would classify vehicles as total losses based upon a “single photo,” according to a report by our US-based media partner Repairer Driven News. Note that this solution is actually intended for consumers, rather than insurers or repairers. According to CCC, it could be distributed to policyholders as a separate app or built into an existing insurer smartphone program.

Meanwhile, Mitchell has also announced it has extended Mitchell Parts and signed an integration agreement with OEConnection (OEC). According to the company, the move is designed to provide the industry with the largest, most accurate, OEM parts procurement solution and with a more streamlined parts procurement process directly through Mitchell Parts.

Mitchell Parts is designed to simplify and streamline parts sourcing and ordering. The agreement with OEC is expected to broaden Mitchell’s existing network of part suppliers and integrate the “most comprehensive” OEM dealer network in the collision industry.

Over 8,000 dealers across all automakers using OEC’s CollisionLink will process parts orders originating from Mitchell Parts.

Baudoux added: “Mitchell Parts is another Mitchell cloud-based solution and reinforces Mitchell’s commitment to its rapid evolution to a full cloud and browser-friendly offering.”

For more information, please visit mitchell.com.

 

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