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基于大型商场销售采集系统的营销模型
引用本文:张姣,范馨月. 基于大型商场销售采集系统的营销模型[J]. 经济数学, 2019, 36(1): 68-73
作者姓名:张姣  范馨月
作者单位:贵州大学数学与统计学院,贵州 贵阳,550025;贵州大学数学与统计学院,贵州 贵阳 550025;贵州大学 贵州省公共大数据重点实验室,贵州 贵阳 550025
基金项目:实验室开放基金;本科教学工程项目;贵州大学博士基金;贵州大学本科教学工程建设项目
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.

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

MarKeting Model Based on Sales Collection System of Shopping Mall
ZHANG Jiao,FAN Xinyue. MarKeting Model Based on Sales Collection System of Shopping Mall[J]. Mathematics in Economics, 2019, 36(1): 68-73
Authors:ZHANG Jiao  FAN Xinyue
Affiliation:(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)
Abstract: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.
Keywords:FRLMC model   member potential mining   K-Means clustering method   price tolerance
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