基于K-Means聚类算法的净菜店客户管理  

A Study on Dish-shops Customer Management based on the K-Means Cluster Arithmetic

作　　者：胡朝晖[1] 张革伕[2] HU Zhao-hui;ZHANG Ge-fu(Chuanshan College,University of South China,Hengyang 421001;School of Management,University of South China,Hengyang 421001,China)

机构地区：[1]南华大学船山学院,湖南衡阳421001 [2]南华大学管理学院,湖南衡阳421001

出　　处：《物流工程与管理》2019年第6期44-45,48,共3页Logistics Engineering and Management

摘　　要：净菜店在O2O电商背景下发展迅速,然而倒闭的也快。基于K-Means算法模型,利用一个连锁净菜企业的门店交易数据,计算出客户的最近消费周期、消费次数和消费金额,构建了一个客户聚类模型,分析了客户的分类状况。研究表明客户在隐退,优质客户在转差,企业经营者必须改善管理。In the context of O2O e-commerce,clean dish shops are developing rapidly,but they are closed rapidly.Based on the k-means algorithm model,the recent consumption cycle,consumption frequency and consumption amount of customers are calculated by using the store transaction data of a chain dish shops enterprise,and a customer clustering model is constructed to analyze the classification status of customers.This study shows that customers are retreating,quality customers are deteriorating,and business operators must improve management.

关 键 词：K-MEANS 聚类 菜店 客户关系管理 

分 类 号：F251.3[经济管理—国民经济]