Ai-based insurance claim information generation method and device
An AI-based system standardizes repair estimate analysis for automobile insurance, ensuring consistent claim approvals and reducing processing time by using vector databases and prediction models, thus enhancing insurance product design efficiency.
WO2026105930A1 Publication Date: 2026-05-21TEAM EZ INC
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Patent Information
- Application Number
- PCT/KR2024/019262
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-11-28
- Filing Date
- 2024-11-29
- Publication Date
- 2026-05-21
AI Technical Summary
Technical Problem
Existing methods for generating repair estimates in the automobile insurance sector are inefficient and inconsistent, leading to variations in repair cost approvals based on insurance officer experience and lack of standardized data-driven solutions.
Method used
An AI-based system that analyzes repair shop estimates through image and text analysis, generating standardized insurance claim information by identifying covered items and costs within pre-learned insurance scopes, using vector databases and approval prediction models.
Benefits of technology
Facilitates efficient and consistent insurance claim approvals, reducing processing time and eliminating overcharging, while enabling data-driven insurance product design to lower loss ratios.
✦ Generated by Eureka AI based on patent content.
Abstract
A method by which an AI-based insurance claim information generation device generates AI-based insurance claim information is disclosed. According to one embodiment, the method may comprise the steps of: receiving estimate information from a repair shop; extracting text elements from the estimate information and embedding the extracted text elements; extracting standard-form estimate elements from a pre-established vector DB on the basis of vector values generated through embedding of the estimate elements from among the embedding results; generating, on the basis of the received estimate information, a standard-form estimate in which the standard-form estimate elements are reflected; predicting the probability of approval of the generated standard-form estimate by using a pre-established approval prediction model; and generating insurance claim information on the basis of the prediction result.
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