The latest mall system recommendation

In the era of Internet traffic and the era of national e-commerce, due to the compression of channel resources and the decline of gross profit margins, traditional enterprises have been standing in the window of transformation in recent years and have begun to build their own mall systems to build brands. The needs of users in different industries vary widely, and the design of personalized functions is completely different. The multi-functional and omni-channel B2C mall system has become the first choice, cleverly avoiding the risks caused by the backlog of goods, distribution, and the imperfect establishment of the logistics system.


This article has collected a powerful mall system for backup when needed.




Official website: www.diyhi.com
Development language: JAVA, support


cluster Xunyun Mall is a JAVA mall software system, the main features are simple to use, powerful, and support cluster deployment. In the general B2C mall, it is the mall software with the strongest design function, and the ingenious design of functional details makes people shine. The formula configuration function of the promotion module takes care of almost all the personalized needs of the merchants and provides users with deep personalized services. The push function included in the order module can automatically and evenly distribute the orders submitted by the user to the customer service staff for processing, effectively improving the work efficiency of the customer service staff. The recommendation system module supports six collaborative filtering algorithms such as Pearson correlation coefficient and Euclidean distance, and analyzes users' preference behaviors through various algorithms to mine product-to-product, or human-to-human relationships. By performing certain operations on these associations, a guess of the degree of liking between people and products is obtained, that is, the recommended value. Finally, push products with high recommendation value to specific people to complete product recommendation. Using this system, enterprises can easily establish official malls, making the online and offline services more closely integrated.

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