Intelligent fund routing system based on AI large model and optimization method thereof

By adopting an intelligent fund routing system based on AI large-scale models in the fund routing system, the problems of inefficiency and insufficient risk management of traditional systems when dealing with complex financial market data and user behavior patterns are solved, and more efficient and accurate fund allocation and risk management are achieved.

CN119648408AInactive Publication Date: 2025-03-18HAIER CONSUMER FINANCE CO LTD
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Patent Information

Application Number
CN202411489486.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-24
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional fund routing systems have problems such as insufficient data processing capabilities, lack of deep learning capabilities, slow response speed and inaccurate user behavior prediction when processing complex financial market data and user behavior patterns, resulting in inefficient fund allocation and slow response.

Method used

It adopts an intelligent fund routing system based on AI large model, including data processing module, decision-making module, fund routing optimization module, risk assessment module and risk management integration module. The system automatically collects and preprocesses financial market data, uses deep learning models to make fund routing decisions and risk assessments, and optimizes fund routing paths and risk management in real time.

Benefits of technology

It significantly improves the real-time response capability and fund allocation efficiency of the fund routing system, enhances risk management capabilities, provides more accurate market trend forecasts and personalized fund management services, and reduces operating costs and potential losses.

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Abstract

The invention relates to an intelligent fund routing system based on an AI large model and an optimization method thereof, and belongs to the field of finance, and the system comprises a data processing module which is used for automatically collecting financial market data, and carrying out the preprocessing and feature extraction; the decision forming module is used for analyzing the processed data and performing fund routing decision based on an AI model architecture; the fund routing optimization module is used for optimizing a fund routing path according to market and user behavior prediction results; the risk assessment module is used for monitoring transactions and fund flow directions in real time and assessing potential risks; and the risk management integration module is used for carrying out early warning and decision support according to the risk assessment result. The method has the advantages that the efficiency is improved; the safety is enhanced; the precision is improved, and the deep learning model can better predict the market trend and the user behavior.
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