Auto Insurance and Auto Claim Settlement can be improved with the help of UiPath’s Machine Learning Model that utilizes Object Detection. Object Detection is a type of Computer Vision technology that can identify and locate specific objects within images or videos.
By using Object Detection within the Auto Insurance Claims process, insurers can more accurately assess the damage caused by an accident and make a more informed decision on how to proceed with the claim settlement.
For example, if an insured vehicle is involved in an accident, photographs of the vehicle can be taken and uploaded to a UiPath Object Detection Model. The model can then analyze the photographs to identify the areas of damage to the vehicle, and provide a detailed report of the damage to the insurance company.
By using this technology, insurers can reduce the risk of fraudulent claims and increase the accuracy of claim assessments. The use of Object Detection can also speed up the claims process, which can improve the customer experience for policyholders.
In summary, UiPath’s Machine Learning Model that utilizes Object Detection can help improve the efficiency and accuracy of the Auto Insurance Claims Process. By identifying and locating specific objects within images or videos, insurers can more accurately assess the damage caused by an accident and make a more informed decision on how to proceed with the claim settlement.
Industry categories for this use case: Banking, Insurance
Skill level required: Advanced
UiPath Products that were used: UiPath Studio, UiPath AI Center, UiPath Apps, UiPath Assistant, UiPath Data Services, UiPath Orchestrator
Other applications that were used: Microsoft Outlook, MS Office, Twilio & DRUID ChatBot
Other resources: -
What is the top ROI driver for this use case?: Improve customer experience