A new technology opens an umbrella over flood-damaged vehicles

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Frequent urban flooding and the collateral damage to motor vehicles that results is spawning a tech-driven industry aimed at improving predictive modelling and speeding up claims processing for auto insurers, as well as mitigating loss for vehicle owners.

According to insurers, the technology tools used range from catastrophe modelling via artificial intelligence (AI)-driven software to data mining and automation for claims processing. Flooding in Bengaluru’s technology capital in early September increased demand for tech-driven tools among auto insurers and vehicle care providers, who are swamped with claims. This is similar to previous incidents in Chennai, Mumbai, and Delhi.

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A new technology opens an umbrella over flood-damaged vehicles

Frequent urban flooding and the collateral damage to motor vehicles that results is spawning a tech-driven industry aimed at improving predictive modelling and speeding up claims processing for auto insurers, as well as mitigating loss for vehicle owners.

According to insurers, the technology tools used range from catastrophe modelling via artificial intelligence (AI)-driven software to data mining and automation for claims processing. Flooding in Bengaluru’s technology capital in early September increased demand for tech-driven tools among auto insurers and vehicle care providers, who are swamped with claims. This is similar to previous incidents in Chennai, Mumbai, and Delhi.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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