In today’s fast-paced automotive industry, technology is playing an increasingly crucial role in enhancing the accuracy, efficiency, and transparency of vehicle inspections, particularly in post-repair and end-of-lease contexts. The traditional methods of vehicle inspection, which relied heavily on human judgment and manual processes, have long b

The automotive industry, particularly within the realm of insurance and claims management, is undergoing a profound transformation driven by advancements in artificial intelligence (AI). One of the most impactful innovations is AI-powered vehicle damage assessment, which is streamlining damage estimates and First Notice of Loss (FNOL) processing. B

In the automotive industry, vehicle assessments are a critical process, especially when it comes to determining whether a vehicle is a total loss after an accident. The traditional method of assessing damage relies heavily on human inspectors, who manually evaluate the extent of the damage and produce reports based on their expertise and observatio

The integration of Artificial Intelligence (AI) into various industries has transformed the way businesses operate, and the automotive sector is no exception. In particular, the vehicle damage assessment process — which includes damage estimation and verification of OEM (Original Equipment Manufacturer) parts — is undergoing a significant shift

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