Car insurance fraud

Challenge: Handle more claims automatically while detecting fraud with much higher accuracy and far less false positives.

Solution: with Deep Learning models car insurers are now able to handle higher volumes of claims with less effort, identify exactly those customers that are outside normal expected damage claims, with remarkable accuracy.

Benefits: Car insurers experience high cost reductions as damage claims can be settled automatically. More claims are correctly identified as unacceptable or suspicious. The return on investment of these projects is extremely short (usually less than 3 months).