Short insurance dynamic pricing method based on AI large model

By constructing a multimodal risk dynamic perception architecture and a real-time pricing decision system based on an AI big model, the challenges of personalization and real-time response in short-term insurance pricing technology have been solved, achieving second-level risk updates and pricing transparency, thereby enhancing the market competitiveness and customer relationships of the insurance business.

CN121998769APending Publication Date: 2026-05-08CHINA LIFE INSURANCE CO LTD XINJIANG UYGUR AUTONOMOUS REGION BRANCH
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Patent Information

Application Number
CN202511866870.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-11
Publication Date
2026-05-08

AI Technical Summary

Technical Problem

Existing short-term insurance pricing technologies are unable to achieve personalization and real-time response to market fluctuations and sudden risks, and the models lack interpretability, leading to issues of pricing fairness and compliance.

Method used

We construct a multimodal risk dynamic perception architecture based on AI big data models. Through multi-source data processing and real-time reasoning, combined with big data models, we make real-time pricing decisions across insurance types. We also design an intelligent strategy generation and conflict resolution system to achieve transparency and compliance in pricing decisions.

Benefits of technology

This represents a technological leap from traditional periodic retraining to second-level risk updates, improving the accuracy of risk identification and the speed of pricing response. It also solves the problem of balancing market competition, profitability, and compliance, and enhances pricing transparency and customer trust.

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Abstract

The invention discloses a short insurance dynamic pricing method based on an AI large model, and the method comprises the steps: S1, constructing a multi-modal risk dynamic perception architecture, and outputting a unified dynamic risk vector with a fixed length; s2, establishing a real-time risk pricing adaptive mechanism based on the unified dynamic risk vector with the fixed length output in S1, and realizing a real-time pricing decision across insurance types; s3, designing an intelligent strategy generation and conflict resolution system, optimizing the real-time pricing decision across insurance types in the S2, and ensuring that the pricing decision achieves the optimal balance between market competitiveness and profit targets on the premise of meeting actuarial constraints and supervision requirements; and S4, constructing a complete decision tracing mechanism by adopting a multi-mode interpretable artificial intelligence technology, and generating an attribution report based on the data output from S1 to S3 so as to realize the conversion of the pricing decision from a black box to a white box. According to the patent technology, through innovative application of an AI large model, a new-generation intelligent pricing solution is provided for short-term insurance services.
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