Optimization Analysis of Accounts Receivable Management in Financial Shared Service Centers Based on RPA Technology

Against the backdrop of accelerated digital transformation, the financial shared service center, as the core carrier of centralized financial management in enterprises, its efficiency and quality of accounts receivable management directly affects the enterprise’s capital turnover, risk prevention and control, and overall operational efficiency. RPA (Robotic Process Automation) technology, with its advantages of process automation, accurate data processing, and cross-system collaboration, provides a new solution for optimizing accounts receivable management. Based on the actual situation of enterprise financial management, this paper elaborates on the practical necessity of optimizing accounts receivable management in financial shared service centers, analyzes the prominent problems existing in current management work, and constructs an optimization strategy for accounts receivable management based on RPA technology from four dimensions: customer credit management, data integration, reconciliation process, and information collection. The aim is to promote the transformation of accounts receivable management in financial shared service centers towards intelligence and efficiency, and enhance the enterprise’s financial operational level and market competitiveness.