基于大型商场销售采集系统的营销模型
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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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张 姣1,范馨月1,2 (1.贵州大学数学与统计学院贵州 贵阳 5500252.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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