基于大型商场销售采集系统的营销模型

张  姣1; 范馨月1; 2

基于大型商场销售采集系统的营销模型

引用本文：张姣1，范馨月1,2.基于大型商场销售采集系统的营销模型[J].经济数学,2019,(1):68-73

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作者	单位
张姣1，范馨月1,2	(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)

中文摘要: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.

中文关键词: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

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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