【摘要】 对物流企业客户的聚类能找出具有相同特征的客户群并予以区分,进而采取差异化营销策略及方案能够更加精准地服务物流企业客户,提升客户关系与企业运营效益。文中采用R语言做K-means聚类分析,将实例物流企业客户群体分为基础客户、重要客户、贵宾客户,通过概率密度函数图、研究样本散点分布图分析不同群体的分布特征,有针对性地提出物流企业客户差异化的营销方案,以确保提出科学合理的营销手段和方案设计。更多还原

【Abstract】 The clustering of logistics enterprise customers could identify and distinguish customer groups with the same characteristics. The differentiated marketing strategies and solutions could be adopted to serve logistics enterprise customers more accurately,and improve customer relationship and business operation efficiency. R language was used to do K-means cluster analysis,and the example logistics enterprise customers were divided into basic customers,important customers and VIP customers. Through the probability density function graph and the research sample scatter distribution map,the distribution characteristics of different groups were analyzed. The differentiated marketing plan was sexually proposed for logistics enterprise customers to ensure the development of scientific and rational marketing tools and program design.更多还原