Manual, inefficient, and slow vehicle condition assessment when conducted in-person. Developing an efficient AI-driven system for assessing and estimating vehicle damages in insurance claims processing.
The company leveraged the power of LinkedAI’s image labeling services to annotate and categorize various types of vehicle damages, ranging from minor scratches to major collisions. Segmentation annotation was used to outline and classify different damage types accurately.
The AI-powered damage assessment system streamlined the insurance claim process, reducing manual effort and improving accuracy in assessing the extent of vehicle damages.Decreased claim processing time by 40% and increased accuracy in damage assessment by 20%, leading to quicker claims resolution and enhanced customer satisfaction.