Method and system for preventing and controlling post-loan risks of factoring business, electronic device and storage medium

By using RPA robots to acquire and clean account transaction data for factoring business, and combining matching algorithms and risk assessment logic, the low efficiency of manual processes and interface challenges in factoring indirect repayment business are solved, achieving automated risk control and real-time early warning.

CN122415212APending Publication Date: 2026-07-17CHINA ORDNANCE EQUIP GRP COMMERCIAL FACTORING CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA ORDNANCE EQUIP GRP COMMERCIAL FACTORING CO LTD
Filing Date
2026-03-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The current post-loan risk management of indirect factoring repayment business relies on manual methods, which are inefficient in information acquisition and difficult to guarantee data accuracy. Furthermore, when acquiring data by connecting to bank interfaces, there are problems such as high interface development costs, long connection cycles, and low willingness of enterprises to cooperate, making it difficult to promote.

Method used

RPA robots are used to regularly obtain account transaction data of core enterprises, perform data cleaning and standardization, identify transaction data related to factoring business through matching algorithms, and conduct assessment and early warning based on rule-based risk judgment logic.

Benefits of technology

It has enabled the automated operation of factoring business, improved the efficiency of information acquisition, ensured data accuracy, avoided the subjectivity of manual matching, and achieved real-time risk warning.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供一种保理业务贷后风险防控方法、系统、电子设备及存储介质,通过RPA机器人按照预设的时间间隔获取核心企业的账户流水数据;对账户流水数据进行数据清洗,并将标准化流水数据存储至数据库;从数据库中获取标准化流水数据,并从保理业务管理系统获取已登记的保理业务信息,通过预设的第一匹配算法,将标准化流水数据与保理业务信息进行匹配,识别出目标流水数据;通过基于规则的风险判断逻辑对目标流水数据对应的保理业务进行风险评估,若评估结果触发预设的风险预警条件,则生成并发送风险预警信息,解决了人工获取数据效率低下以及依赖对接银行接口问题,通过匹配算法避免了匹配分析主观性,实现保理业务的自动化运行,风险实时预警。
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