CAR INSURANCE CLAIMS PROVIDER

BUSINESS PROBLEM

This company needed to identify highly probable fraudulent claims in their claims processing system.

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SCALESOLOGY IN ACTION

Car insurance claims were analyzed using machine learning algorithms for the following:

• To predict whether auto parts should be repaired or replaced.

• To identify links between car parts commonly damaged together and to categorize damages based on vehicle type

• To identified fraudulent claims where repair shops added atypical or suspicious items/parts to insurance claims

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RESULT

An automated process to detect fraudulent claims and a new product created to allow their customers to maximize efficiency when estimating damage on cars.   ​