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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:
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To predict whether auto parts should be repaired or replaced.
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To identify links between car parts commonly damaged together and to categorize damages based on vehicle type
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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. ​
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