CCC Smart Total

Predict a total loss from a single photo in seconds

Introducing the CCC Smart Total Loss™ Solutionthe fastest way from accident to resolution

Powered by artificial intelligence (AI), the CCC Smart Total Loss solution requires only a single photo to help you more accurately predict a vehicle total loss in seconds.

With the growing complexity of today’s cars and rising repair costs, determining a total loss early in the claims process can result in significant cost savings. By identifying the most effective method of inspection early, you can improve triage decisions that can reduce related expenses and reduce the disruption caused by total loss vehicles at the repair shops, creating a better experience for you and your policyholders.

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Incredibly Fast.
Incredibly Accurate.

CCC has processed more than 180 million automotive claims and has spent years doing AI and Deep Learning model research and development. With CCC Smart Total Loss, CCC is uniquely positioned to instantly analyze vehicle damage against like photos, matching in make, model, year, and damage-type to return a real-time response and help you predict if the damage will result in a total loss or repairable outcome.

An Intelligent
Claims Process

Artificial Intelligence, Machine Learning and Deep Learning are more than futuristic concepts. In this perspective, learn how these technologies are already impacting the Insurance industry and how this impact is likely to increase in the near future.

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Policyholder-Centered

CCC Smart Total Loss is part of the CCC Smart Claims™ Solution Suite, an AI-driven set of solutions that streamline the claim process and exceed policyholder expectations. Designed for seamless integration with your existing policyholder digital applications, Smart Total Loss combines AI and mobile technologies to improve policyholders' interactions and the first notice of loss cycle times.

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Secure your place as part of our in-market tests and see for yourself how CCC Smart Total Loss can help you predict a total loss with a single photo.

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