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Design of Enterprise Inventory Management Program Based on Java EE Programming
6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022 ; : 936-940, 2022.
Article in English | Scopus | ID: covidwho-2286019
ABSTRACT
Since the outbreak of the novel coronavirus at the end of 19, the competition among SMEs has become increasingly fierce. Based on their traditional management model and low level of informatization, SMEs have poor ability to cope with the impact of the epidemic and cannot quickly meet the new needs of target customers and new market opportunities. In the context of the impact of the epidemic situation, small and medium-sized enterprises need to optimize the inventory management system by introducing computer technology, use big data analysis technology to adapt to market demand, reduce the problem of enterprise inventory backlog, improve the efficiency of enterprise resource allocation, and maximize the avoidance of resource mismatch. This paper uses Java EE programming technology and the Spring Boot framework to design an enterprise inventory management system, which can comprehensively and directly display the enterprise inventory management situation, achieve data recording, storage, and modification. At the same time, it uses enterprise inventory management data to achieve the portrait analysis of target users, improve the efficiency of enterprise inventory management, optimize the enterprise management system, and quickly meet the new needs of customers. © 2022 Association for Computing Machinery.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022 Year: 2022 Document Type: Article