Solera Holdings, a global leader in risk and asset management data and software solutions for the insurance and automotive industries, introduced the next generation of Qapter, the company’s innovative automotive claims workflow solution driven by artificial intelligence (AI).
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Solera’s patent pending AI-based technology will provide the industry’s only globally available end-to-end solution for full digitalization of the modern claims workflow. Solera has made strategic investment into core machine-learning capabilities that will radically transform the claims workflow process.
The company’s AI has the capability to detect damaged parts, determine the type and severity of damage, define appropriate vehicle manufacturer repair operations and create an estimate based on these pre-defined repair operations. Automation tools improve the process of triage claims workflow, speed up reviews of damage photos, rapidly improve identification of total loss vehicles, and support identification of the next best action for repairable vehicles. These capabilities all save time, speed up the claims process and shorten the lifecycle of a claim for insurers, body repair centers, assessors and vehicle owners.
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By blending the company’s proven repair science technology with over 300 million historical claims, one billion historical images (and growing), and 50 years of experience, Solera’s best-in-class data feeds enhanced machine learning algorithms to drive efficiency and increased accuracy. This integrated approach provides superior accuracy and performance compared to rudimentary standalone simple AI image recognition point solutions that have limited repair data and provide minimal benefit in digitizing the claims process.
