Application of Clustering Algorithm in Retailer Value Analysis
The 14th five-year Plan is a period of strategic potential and crisis challenges for the entire Chinese society and economy.Furthermore,it's a crucial time forimproving existing momentum,and developing new momentum for growth.In order to support the high-quality development of the sector,China's tobacco industry has now moved into a new phase of developing a contemporary tobacco economic system.At this point,the fastest way to succeed in the current tobacco industry is to replace the conventional single-line marketing,reach customers more quickly,manage consumption information,and drive products to improve.In conclusion,the retail customer data from the Henan Tobacco industry's CRM customer management system served as the data foundation for this study.K-means clustering technique is used for data integration with SPSS analysis software and other tools.While classifying the value of retailers and creating a value matrix to investigate the market performance of Henan China's tobacco sector Tianye cigarettes.
cigarettemarketcustomer segmentationRFM modelclustering algorithmretail value
万方数据
维普
