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 infrastructure
that is built using i.a. Google Cloud Platform and Kubernetes technologies.
Want to know more?
Read the whitepaper or contact us.
|Whitepaper Xomnia _ Schadegarant Case.pdf|