Customer Relationship Management in the Manufacturing Industry using Data Mining Techniques

In the eventual world, production industry tries to get more market share for their products. This is possible only through Customer Relationship Management (CRM). A separate team has been working for the same, to improve the customers need and make the production in the positive direction. Strenuous remedial measure has to be taken to bring up the sales quantity. Various methodologies have to be incorporated, to obtain good strategies for CRM. Data mining is the crisp methodological fragrance, dominated to the core. Naive base, Decision tree, Prism, Ada Boost and Ensemble are the existing methodologies that predominately capture the market more. In our research work, DBSCAN method has to be employed, to obtain and grasp the people to the required segment. Thus, the production company improves their requirement sales, through the people demands.