Fri Jul 28 2017

Schadegarant: real-time anomaly detection assessment on insurance claims of car damages

Schadegarant wants to optimally deploy costly expertise on car damage claims by realizing automatic anomaly detection. Anomaly in this context could, for example, mean that the proposed costs are exceptional, compared to similar historical damages. Or that the repair shop charged an incorrect price for a certain replaced car component, causing the claim to not pass a comprehensive set of business rules.

Xomnia has designed a set of algorithms and filters which assess dossiers of car damages and highlight questionable ones. The algorithms run real-time in a highly customized infrastructurethat is built using i.a. Google Cloud Platform and Kubernetes technologies.

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