Understanding of Customer Profiling and Segmentation Using K-Means Clustering Method for Raipur Sahkari Dugdh Sangh Milk Products
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 3
Abstract
The Milk product industry collects huge amounts of data on sales, customer's buying history, goods transportation , consumption and services. Customer profiling is the method for finding out the specific and similar features or patterns and segmentation is the task of partitioned the data into small clusters or segments. This paper elaborates upon the use of the data mining technique of clustering to segment customer profiles for a milk product company. Clustering can help to identify customer buying patterns and behaviors, improve customer service for better customer satisfaction and hence retention. In addition, the research focuses on profiling customers and finding a relation between the profile and the segments. In any industry, the first step to finding and creating profitable customers is determining what drives profitability. This leads to better prospecting and more successful customer relationship management.
Authors and Affiliations
Rajeshri Lanjewar, Om Prakash Yadav
Keywords
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