基于大型商场销售采集系统的营销模型  

MarKeting Model Based on Sales Collection System of Shopping Mall

作　　者：张姣 范馨月 ZHANG Jiao,FAN Xinyue(School of Mathematics and Statistics , Guizhou University t GuiyangtGuizhou 550025 ,China;Guizhou Provincial Key Laboratory of Public Big Data , Guizhou University tGuiyang,Guizhou 550025 ,China)

机构地区：[1]贵州大学数学与统计学院,贵州贵阳550025 [2]贵州大学贵州省公共大数据重点实验室,贵州贵阳550025

出　　处：《经济数学》2019年第1期68-73,共6页Journal of Quantitative Economics

基　　金：贵州省大数据重点实验室开放课题(2017BDKFJJ012);贵州大学省级本科教学工程项目(2017520015);贵州大学博士基金项目(贵大人基合字2012(015)号);贵州大学"本科教学工程"建设项目(JG201723)

摘　　要：针对零售行业企业管理的合理性,基于某大型商场销售采集系统数据,构建适合零售运营商精准营销的FRLMC模型,实现零售行业的精准营销,优化会员管理制度.应用K-Means聚类分析方法构建合理实用的结构体系,精准识别会员消费特征,实现对会员消费行为画像描绘.通过实际应用说明模型的准确率,在其他行业经过验证可推广应用.Aiming at the rationality of retail business management, based on the data of a large shopping mall sales collection system, we establish a FRLMC model suitable for retail operators to achieve precision marketing, so as to achieve precision marketing in the retail industry and to optimize membership management system. The K-Means clustering analysis method is used to construct a rational and practical structure system, to accurately identify the characteristics of member consumption, and to describe the portrait of a member's consumption behavior. The accuracy of the model is illustrated by practical application, and it can be popularized in other industries.

关 键 词：FRLMC模型 会员潜力挖掘 K-Means聚类方法 价格容忍度 

分 类 号：F276.44[经济管理—企业管理]