Analysis of a New Retail E-commerce System Based on Cloud Service Platform

• Published in: RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação 2023-11 (E63), p.377-387
• Main Authors: Li, Baochan, Liao, Keyu, Zhou, Rongjia, Yang, Shijie, Liao, Haojie
• Format: Article
• Language: English
• Subjects: Algorithms; Cloud computing; Collaboration; Continuous improvement; Customer services; Efficiency; Electronic commerce; Information management; Logistics; Management information systems; Quality of service architectures; Sales; Software services; Software-as-a-service; Supply chains; User behavior; User needs
• ISSN: 1646-9895

According to the level of resources provided by cloud computing services, laaS (Infrastructure as a Service), PaaS (Software as a Service) and SaaS (Software as a Service) can be classified (Osterrieder et al. 2020). [...]due to the inconsistency in the development level of upstream and downstream enterprises in the supply chain, in the supply chain environment to achieve good work together, a direct result of rising costs, operating efficiency decline (Suddaby et al. 2020). [...]it is veiy important to promote the integration of e-commerce with the internal business and management information system and enhance the level of business collaboration among enterprises in order to promote the improvement of product sales and after-sales service and promote the improvement of business efficiency. In terms of logistics, how to improve the level of informatization of logistics enterprises, and promote their relying on information technology to improve the level of social services to help e-commerce enterprises to improve the efficiency of courier delivery and service quality (Wang et al. 2020)? [...]with the growing importance of e-commerce in the national economy, with the continuous improvement of the e-commerce business model, it is even more necessaiy to encourage e-commerce enterprises to strengthen cooperation with related supporting enterprises and promote synergetic development (Yang et al. 2020). End-users in the e-commerce platform will have a lot of data in the transaction process, in particular, some of the data on the e-commerce platform has an important storage and research significance, through the optimization of collaborative filtering recommendation algorithm, you can e-commerce platform generated value Data in order to grasp the value of the user in the transaction process, for example, according to the user's collection of products, attention or whether to join the shopping cart, so as to deeply tap the user's implicit evaluation of the product to find out the psychological needs of customers and enhance the recommendation.