Machine Learning Approach to Predict Potential Profitable Customers in CRM

Abstract

Customer Relationship Management helps to get customers by knowing their necessities, holding existing customers by fulfilling their necessities and drawing the attention of new customers by providing different marketing strategies. High value customers are performing a vital role to measure the effectiveness in CRM. The competition for High value customers is the central point of CRM.                                                                                              Customer classification can help CRM to identify different type of customer for the growth of their organization. We have applied machine learning algorithms to classify the customers in CRM. Basically we have applied k-means clustering and Dynamic Rule based classification for this purpose. So the message can be delivered to the Potential Profitable customers based on their interest and the offer on products. It helps to keep the existing customers and draw new customers in this competitive market.