Research On Customer Classification Management Of ZH Logistics Company Based On Integrated Value Evaluation

In recent years,the emergence of emerging business models such as e-commerce has led to the vigorous development of the logistics market,which is known as the source of third-party profits.In the era of “Internet +” thinking and knowledge economy,as the globalization of the trade sector deepens and the integration process accelerates,foreign logistics companies with strong capabilities such as DHL and UPS have entered the Chinese market.The competitive environment is changing rapidly,trading positions between buyers and sellers are interchangeable.The prevalence of individual consumption and customized production methods force logistics companies come to realize profoundly: To grasp high quality customer resources is the only way for survival.Managers must effectively identify the value of logistics customers so as to provide strategic guidance for the market segmentation of enterprises,to tap the potential value space of customers,to prevent customers churning.The article firstly analyzed the customer management problems of logistics companies on the topic in according with the current state of the industry,explained the research background and significance,and based on the reviews and summaries of domestic and foreign literature,it clearly defined the connotation of customer value theory;Then evaluate traditional logistics companies' various methods for classifying customer value and selected the clustering analysis,which is based on the establishment of logistics customer comprehensive value evaluation index system,as the focus of this study.In the selection of indicators,it fully integrated the logistics industry's own industry characteristics and service characteristics by designing and filtering from the current value and potential value of logistics customers.In the construction of the comprehensive value calculation model,the standard data was transformed by the extreme value method.AHP was used to calculate the index weights.Finally,a case study was conducted by ZH Logistics company,and K-means algorithm was used to simulate clustering results under the SPSS19.0 experimental environment based on the value evaluation results of each index,which proved that this classification method can effectively improve customer value management and was beneficial for the implementation of LCRM strategies.