Customer Segmentation Using Machine Learning

Customer Segmentation Using Machine Learning

N.Pavan kumar

(B.TECH Scholars, Department Of Computer Science and Engineering , SNIST - 501301,India)

A.Ashwini

(B.TECH Scholars, Department Of Computer Science and Engineering , SNIST - 501301,India)

G.Meghana Reddy

(B.TECH Scholars, Department Of Computer Science and Engineering , SNIST - 501301,India)

Under Guidance of

Dr. Rama Chandra

(Associate Professor Head, Department Of Computer Science and Engineering , SNIST - 501301,India)

Abstract – Both books and software on customer relationship management stress the necessity of customer segmentation. The most popular strategy for differentiating one consumer from another is to brand some of them as premium and the rest as basic. In this paper, consumer data that has been manually segmented by a corporation is examined. The study uses its real-time data regarding its customers' details to tackle the segmentation challenge. Machine learning techniques are used to find solutions to data management issues since they are effective in doing so. In in order to distinguish between premium and standard clients in a company's database, different classification methods are evaluated.