This paper proposes a logistics tracking information management system based on a wireless sensor network, using wireless sensor nodes to track and manage logistics tracking information, and designs a networked logistics tracking information management system to achieve remote real‐time management of logistics tracking information. The research work in this paper can mention the real‐time and accuracy of logistics tracking information management, which has significant guiding significance to the information security of the logistics industry. This paper first analyzes the business process of logistics enterprises, obtains the demand analysis of logistics tracking management system, divides the whole logistics tracking management system into several functional modules according to the logistics business process of enterprises, analyzes and designs these system functional modules, and gives the model of system functions. After analyzing and designing the system, for the data processing problem in the wireless sensor network, the difference transmission algorithm based on the mean expectation is proposed, which calculates the mean value as the expected value under the specific data model. Then, the data of the difference between the collected value and the expected value is transmitted to reduce the amount of data sent by the nodes, reduce energy consumption, extend the network life cycle, and ensure the stability of the logistics tracking information system. The purpose is to reduce the amount of data sent by nodes, reduce energy consumption, extend the network life cycle, and ensure the stable operation of the logistics tracking information system. In this paper, we describe the logistics tracking system based on a wireless sensor network, which has not only features such as sharing and flexibility but also has high fault tolerance. The system is designed for functional modules such as procurement management, inventory management, and sales management. The JAVA technology platform is selected for design and development, and the SQL Server database is selected for the backend of the system, and a simple and easy‐to‐use WEB interface for the user service side of the system is designed to meet the needs of a user‐friendly environment. The implementation of the system also makes some theoretical and practical contributions to the design and development of similar logistics tracking information management systems based on wireless sensor networks.