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CAR INSURANCE CLAIMS PROVIDER

Updated: 5 days ago



BUSINESS PROBLEM

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

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 identify 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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