Construction of Financial Information Management System for Small and Medium-Sized Enterprises Based on ant Colony Optimization Algorithm

Small and medium-sized enterprises (SMEs), as the main driving force of global economy, its financial information management is very important for sustainable development. This paper aims to explore the construction and optimization of SMEs financial information management system based on ant colony optimization (ACO) algorithm. In the research, we first analyzed the challenges and demands of SMEs' financial information management. Then, we introduce the construction process of SMEs financial information management system based on B/S structure in detail, and put forward an early warning model of SMEs financial crisis based on ACO algorithm, emphasizing its potential value in financial information management. Through simulation and experimental verification, we show the effectiveness of ACO algorithm in predicting the financial risk of enterprises and the trend of stock prices in the same period. The application of the algorithm improves the efficiency of financial information management, reduces the risk of human error, and also helps enterprises to better cope with market uncertainty and competitive pressure. This system can provide customized solutions according to the specific needs of enterprises, thus enhancing the flexibility and competitiveness of enterprises.