连锁超市收入监控及商品推荐系统的设计与实现

发布时间：2018-06-03 03:44

本文选题：连锁超市 + 收入监控　；参考：《山西大学》2016年硕士论文

【摘要】：目前,连锁超市以其商品的全面性,在人们日常生活中扮演着重要角色。随着社会经济和电子商务的不断发展,各大连锁超市店面数逐渐增多,同时网购也在不断深入人们的生活,使得作为实体门店的连锁超市面临着线上线下双重竞争的严峻考验。为了适应社会的转型,连锁超市的经营模式从最初的粗放型,逐渐向精细化转变。那么,如何确保各个网点的营业收入及时回流到企业总部的账户,提高资金归集的效率;深度挖掘核心客户潜在的消费需求,为客户推荐商品,提升其对连锁超市的忠诚度;同时在日常经营的过程中,找出销售商品之间潜藏的某些关联规则,从而指导超市内部商品的调配和陈列方式,实现对连锁超市经营的现代化管理,显得尤为重要。本论文旨在建立一套连锁超市收入监控及商品推荐系统。系统的分析和设计模型采用了 UML建模语言描述,在整体架构设计上,采用了基于J2EE的MVC三层模式,功能实现上采用了 SSH框架,以Tomcat 6.0作为服务器中间件,以ORACLE数据库存储数据,在实现商品推荐功能时采用了数据挖掘中基于用户兴趣的协同过滤和关联规则算法,重点实现了以下两个模块的功能:(1)收入监控模块:系统通过对连锁超市各网点实际营业收入数据和网点实际上交款、网点实际上交款和银行电子回单两组数据的稽核,结合对各网点的押金管理,及时发现资金在流转过程中的风险,对超过阈值而产生风险的事件,向经营者发出告警提示,实现对网点收入的安全监控。系统以图表形式为经营者展示各网点的营业数据。(2)商品推荐模块:系统通过动态记录连锁超市会员客户的商品购买记录,按照会员的购买能力,挖掘分析客户可能感兴趣的商品。另外,系统会对连锁超市每一单的销售商品进行商品间关联规则的分析,找出大众客户日常购物的某些习惯,以图表的形式为经营者展示。本系统能够及时发现连锁超市运营过程中的资金安全隐患,提示经营者及时采取预防措施,弥补资金流转过程的一些漏洞;同时通过对客户潜在消费需求的推荐和商品间关联规则的分析,可以方便经营者制定相关营销策略,加强客户关怀,提高连锁超市的运营效率和经营收益。
[Abstract]:At present, supermarket chain plays an important role in people's daily life because of its commodity comprehensiveness. With the continuous development of social economy and electronic commerce, the number of stores of each chain supermarket is increasing gradually, at the same time, the online shopping is also going deep into people's life, which makes the chain supermarket as a physical store face the severe test of both online and offline competition. In order to adapt to the social transformation, the chain supermarket business model from the initial extensive, gradually change to refinement. Then, how to ensure that the operating income of each network return to the account of the enterprise headquarters in time, improve the efficiency of the collection of funds, dig into the potential consumer demand of the core customers, recommend the goods for the customers, and enhance their loyalty to the supermarket chain; At the same time, in the course of daily operation, it is very important to find out some association rules hidden between the selling commodities, so as to guide the allocation and display of the goods in the supermarket, and to realize the modern management of the chain supermarket management. This paper aims to establish a chain supermarket revenue monitoring and commodity recommendation system. The analysis and design model of the system is described by UML modeling language. In the overall architecture design, the MVC three-tier model based on J2EE is adopted, the SSH framework is used to realize the function, and Tomcat 6.0 is used as the server middleware. The ORACLE database is used to store data, and the collaborative filtering and association rules algorithm based on user's interest in data mining is used to realize the function of commodity recommendation. The function of the following two modules is emphatically realized: the system verifies the actual operating income data of the chain supermarket outlets and the actual payment from the network, the actual payment from the network and the bank electronic return orders, through the audit of the two groups of data of the following two modules: Combined with the deposit management of each network, we can find out the risk of funds in the circulation process in time, and send alarm warning to the operator to realize the security monitoring of the network revenue. The system displays the business data of each network for the operator in the form of chart. 2) Commodity recommendation Module: the system dynamically records the purchase records of the customers of the supermarket chain members, according to the purchasing ability of the members, Excavate and analyze items that the customer may be interested in. In addition, the system will analyze the association rules of each single item in the supermarket chain, find out some habits of the public customers' daily shopping, and display it to the operators in the form of charts. This system can discover the hidden danger of fund safety in the operation of chain supermarket in time, prompt the operator to take preventive measures in time, and make up some loopholes in the process of fund flow. At the same time, through the recommendation of customers' potential consumption demand and the analysis of the association rules between commodities, it is convenient for operators to formulate relevant marketing strategies, strengthen customer care, and improve the operational efficiency and operating income of supermarket chains.
【学位授予单位】：山西大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.3

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