Function Expansion and Application Optimization of Enterprise Resource Planning (ERP) System Based on Cloud Computing

In the context of digital transformation today, Enterprise Resource Planning (ERP) system face problems such as single functionality, insufficient flexibility, and poor user experience. This paper aims to enhance the functionality and availability of ERP system through cloud computing based architecture. First, this paper conducts a demand analysis on the current system and identifies key functional shortcomings, including real-time data update and mobile access requirements; secondly, it designs a cloud computing architecture and adopts a microservice architecture model to realize the modularization of the ERP system so that each functional module can be expanded independently; then it implements an optimization strategy, improves the user interface design to enhance the user experience, and adopts a responsive layout to support multi-terminal access; at the same time, it integrates big data analysis tools to realize real-time processing and visualization of data. Through practical application in a large manufacturing enterprise, the optimized average response time was 76.5ms. The expansion and application optimization of ERP functions based on cloud computing significantly improved the operational efficiency and decision support capabilities of the enterprise.