Car insurance claim cost evaluation and damage detection: Ciklum eCommerce Development project at Qualified.One

Car insurance claim cost evaluation and damage detection by Ciklum

Some details

CHALLENGE

Eurapco is an alliance of large independent European mutual insurance companies, consisting of eight partners operating in 16 countries across Europe. Highly skilled experts process the images from car claims with visual analysis and prepare a summary report. It takes a long time to evaluate the claim and often the estimated costs are not accurate

enough.

SOLUTION

The goal was to build a system using Deep Learning that will estimate repair costs for car claims accurately. This will eliminate errors in manual evaluations by the experts who have no access to the actual data with repair costs or whose knowledge is outdated.

CONCLUSIONS

Applying the Deep Learning approach helps to save time in the cost evaluation of car claims and making more accurate cost estimates.

GPU acceleration helps to scale this process by greatly increasing the performance of deep learning models.

Find more details in the case study story 

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