Research on Integration and Optimization of Intelligent Warehouse and Logistics Information System in E-commerce Supply Chain

Abstract

The traditional warehousing and logistics management model has been difficult to meet the needs of efficient operation, and the integration and optimization of intelligent warehousing and logistics information system has become the key. In this paper, an integrated optimization scheme of intelligent warehousing and logistics information system based on Internet of Things (IoT), big data, cloud computing and artificial intelligence (AI) is proposed. By designing a four-layer system integration architecture (data acquisition layer, data processing and analysis layer, application service layer and user interaction layer), the seamless connection and efficient cooperation between warehousing and logistics are realized. The optimization algorithm combines IoT, big data, cloud computing and AI technologies to optimize warehousing management and logistics operation with the goal of minimizing inventory cost, maximizing logistics efficiency and improving customer satisfaction. The empirical analysis takes E-commerce enterprise A as a case. Through one-year data collection and analysis, the results show that the optimized inventory is reduced, the times of excess inventory and shortage are reduced, the transportation path is more reasonable, the transportation time and cost are significantly reduced, the logistics distribution is more punctual and accurate, and the customer satisfaction is improved.