Abstract
Abstract Aiming at the problems of single function, low service level and difficult to meet customers’ demand for warehousing business in warehouse management system, a collaborative filtering recommendation algorithm is proposed. The algorithm calculates the similarity between items by analyzing user’s consumption behavior records, finds similar items to ‘target user’s favorite items, recommends similar items to ‘target user’, and designs commodity recommendation function for customer preferences, so as to improve user satisfaction and commodity sales efficiency. In order to provide users with better service experience and make the system operators easy to use, it is proposed to use B / S architecture and MVC framework model to design four modules : user management, allocation management, warehouse information management and report management, and to establish the corresponding database for unified management. Finally, the intelligent warehouse management system with high user experience satisfaction and convenient background management operation is obtained.
Highlights
From the current point of view, many domestic enterprises' warehousing management information systems are faced with problems such as simple structure, fewer functions, and the mismatch between the service level of the system and the needs of customers
Some large-scale warehousing companies abroad have reduced the investment of manpower to a large extent through information construction, they still cannot fully realize the automation and intelligent management of the warehousing system [1]. He Jiabo and Gu Xinjian of Zhejiang University proposed Internetbased shared storage [2] and analyzed the economic effects brought by warehouse management, but did not propose specific system design and implementation. This intelligent warehouse management system uses B/S The architecture uses the MVC framework pattern to separate the system control, user view, and warehouse data to further improve the maintainability of the system
The system adds a product recommendation function to the warehouse management, and proposes a collaborative filtering recommendation algorithm for products based on user preferences
Summary
From the current point of view, many domestic enterprises' warehousing management information systems are faced with problems such as simple structure, fewer functions, and the mismatch between the service level of the system and the needs of customers. Some large-scale warehousing companies abroad have reduced the investment of manpower to a large extent through information construction, they still cannot fully realize the automation and intelligent management of the warehousing system [1]. He Jiabo and Gu Xinjian of Zhejiang University proposed Internetbased shared storage [2] and analyzed the economic effects brought by warehouse management, but did not propose specific system design and implementation. Manpower and material resources, and improve the economic benefits of the enterprise
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