IBM Watson and its AI-powered visual recognition abilities are being adapted by Anadolu, Turkey’s oldest insurance firm, for faster processing of insurance claims. IBM Watson Visual Recognition service is currently used by the insurance firm to assess a large number of auto claims that it receives on a daily basis.
On average, Anadolu receives 1,200 claim requests each day. Checking each one manually is a slow and difficult process, but has to be done since 63 percent of the claimants contradict the insurance company’s judgment.
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Mehmet Abacı, Deputy Chief Executive Officer of Anadolu Insurance, said, “Insurance is one of the primary industries that are affected by technological developments the most. As the largest and long-established company of Turkey, we are also a leader in the use of technology. We want to reduce the analysis and repair processes to a few hours by using Artificial Intelligence in analysis of minor damages in our customers’ vehicles. Before that, we also performed such work and managed to pay our customers for minor housing damages such as glass breakage within five seconds. Now we have also started to use Artificial Intelligence technology in auto insurance more efficiently.”
IBM Watson helps customers take pictures of the damage, post which affected parts are assessed for a replacement, repair or further consultation.
Volkan Sözmen, IBM Turkey Country General Manager, said, “We are proud that our long-standing collaboration with Anadolu Insurance has acquired a new dimension with this project. IBM Watson’s visual recognition capabilities will greatly contribute to making Anadolu Insurance’s processes more efficient and hassle-free for its customers. We believe that this project will not only help the insurance industry gain new momentum but also change the course of the digital transformation journey.”
Anadolu experts are working with IBM data scientists to teach Watson the language which is specific to insurance terminologies such as names of the auto-parts viz. buffer, door, and mud-guards.
The solution will launch for contracted repair workshops in the second half of 2019.
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