基于购买模式的商品配售方法

• 作 者: 丁连红 刘丙午
• 机 构: 北京物资学院,北京物资学院,
• 出 处: 商业文化(学术版)
• 发表日期: 2008年04期
• 关键词: 购买模式 数据挖掘技术 购买习惯 典型实例 消费记录 无向图 社区结构 关联 笔数 相关商品

啤酒与尿布是商品配售成功的典型实例,如何准确发现多数顾客的购买习惯,从而指导商超更合理地完成所售商品的布局,通过有效配售达到进一步提高销售额的目的是一个有实际应用价值的课题。本文将数据挖掘技术和社区思想引入消费者购买模式的识别过程,能有效地识别那些顾客会在一次消费活动中同时购买的商品并将其就近摆放,从而实现商品的有效配售。

Beer and diaper are typical examples of the success of merchandise placement. How to accurately find out the purchasing habits of most customers, so as to instruct them to complete the layout of the merchandise sold more reasonably and achieve the purpose of further increasing sales through effective placement is a practical value The subject. In this paper, the data mining technology and community thinking are introduced into the recognition process of consumers’ purchase patterns, which can effectively identify those products that customers will purchase at the same time in a consumer activity and put them nearby, so as to effectively distribute the products.