融合AI能力的商品销售管理系统的设计与实现

Design and Implementation of Commodity Sales Management System Integrating AI Capability

研究设计一个融合AI能力的商品销售管理系统。该系统采用前后端分离的设计模式,前端使用Vue框架技术,后端则运用Spring Boot框架技术。同时,系统应用基于物品的协同过滤算法,能够智能化地为用户推荐相关产品。此外,系统还实现了各种销售业绩、收支平衡等的可视化分析,为商家提供了全面的销售数据分析工具。测试表明,系统功能强大且易用性好,在商品推荐上具有出色的智能性,在商品销售数据的管理和分析方面也表现突出。

Research and design a commodity sales management system that integrates AI capabilities.The system adopts a front-end and back-end separation design pattern,with the front end using Vue framework technology and the back end using Spring Boot framework technology.At the same time,the system applies a collaborative filtering algorithm based on items,which can intelligently recommend relevant products for users.In addition,the system also implements visual analysis of various sales performance and monthly income,providing comprehensive sales data analysis tools for businesses.Tests have shown that the system is powerful and easy to use,with excellent intelligence in product recommendation,and outstanding in the management and analysis of product sales data.