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Auto Physical Damage

Mitchell Announces Launch of Intelligent Estimating Solution

October 1, 2019
3 MIN READ

SAN DIEGO, CA—Mitchell International, a leading provider of technology, connectivity and information solutions to the insurance and industries, today announced the release of its Mitchell Intelligent Estimating solution, an advanced, artificial intelligence claims automation solution. This news comes on the heels of last week's announcement that to enable their touchless claims vision.

An estimate no longer needs to be written from scratch. The Mitchell Intelligent Estimating solution is designed to predict and pre-populate all possible portions of an estimate. It also allows appraisers to further complete, review and/or approve a pre-written estimate. This break-through solution generates detailed auto physical damage estimates—including parts, operations and labor details—based on photos of vehicle damage transmitted by a policyholder, a repair facility or a staff appraiser.

The Mitchell Intelligent Estimating solution combines Mitchell's claims technology with its proprietary collision repair data, artificial intelligence and decision support tools to drive to an efficient and highly scalable estimating solution.

Photos can be received from a multitude of sources—from carrier mobile apps to repair facility photo capture tools—analyzed through Mitchell's own Vehicle Damage Detection API, then processed via Mitchell's proprietary Intelligent Translation service. Mitchell's advanced machine learning leverages Google expertise in computer vision, as well as the processing power, security and reliability of Google Cloud Platform (GCP).

“This new transformative estimating solution demonstrates both Mitchell's key focus on innovation as well as our commitment to embrace the most respected domain experts to accelerate the pace of claims automation,” said Olivier Baudoux, Head of Global Product & Artificial Intelligence for Mitchell International. “The Mitchell Intelligent Estimating solution is the latest display of our commitment to deliver leading-edge solutions and better outcomes for our clients, and underscores Mitchell's commitment to advancing one of the most complex industry opportunities.”

“Google Cloud is honored to work with Mitchell to enable a complete, end-to-end automated estimating solution for top carriers,” said Mikey Kindler, Head of Machine Learning Solutions, Google Cloud. “We have found Mitchell to be an exceptional partner to help bring images to life using the latest machine learning. Mitchell's unique editorial and estimating expertise enables a true modern automated claims solution.” As part of the launch today, Mitchell has also committed to building future cloud-based insurance solutions on GCP. Google Cloud is widely recognized as a global leader in delivering a secure, open and intelligent enterprise cloud platform. Today, thousands of customers across more than 150 countries trust Google Cloud to transform their businesses.

Mitchell's Intelligent Estimating will be available to early-adopter carriers in the United States in 1Q2020. For further collision repair and property casualty industry updates and perspectives, follow Mitchell on Twitter and .

¶¶ŇőĆĆ˝â°ć Mitchell International

Headquartered in San Diego, California, Mitchell International, Inc. delivers smart technology solutions that simplify and accelerate claims handling and repair processes, driving more accurate, consistent and cost-effective resolutions. Mitchell integrates deep industry expertise into its workflow solutions, providing unparalleled access to data, advanced analytics and decision support tools. Mitchell's comprehensive solution portfolio and robust SaaS infrastructure connects its customers in ways that enable tens of millions of electronic transactions to be processed each month for more than 300 insurance companies, over 30,000 collision repair facilities and countless other Property & Casualty industry supply partners across the Americas and Europe. For more information, please visit www.mitchell.com.