This paper is published in Volume-7, Issue-3, 2021
Area
Machine Learning
Author
Pappala Shamili Kumari, Nutalapati Sai Lavanya, Parvatham Hari Chandana, Polamarasetty Lakshmi Nithisha, Datti Lalitha Kumari
Org/Univ
Andhra University College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
Pub. Date
29 June, 2021
Paper ID
V7I3-2192
Publisher
Keywords
Segmentation, Clustering, Visualization, Classification, Voting

Citationsacebook

IEEE
Pappala Shamili Kumari, Nutalapati Sai Lavanya, Parvatham Hari Chandana, Polamarasetty Lakshmi Nithisha, Datti Lalitha Kumari. Customer segmentation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pappala Shamili Kumari, Nutalapati Sai Lavanya, Parvatham Hari Chandana, Polamarasetty Lakshmi Nithisha, Datti Lalitha Kumari (2021). Customer segmentation. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Pappala Shamili Kumari, Nutalapati Sai Lavanya, Parvatham Hari Chandana, Polamarasetty Lakshmi Nithisha, Datti Lalitha Kumari. "Customer segmentation." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Now a days, maintaining customer loyalty and attention span of the customers are major challenges faced by the retail industry. This leads to the need for reinforcement of marketing strategies from time to time. This project “CUSTOMER SEGMENTATION” main objective is to segment the customer by analyzing their behavior, their needs and their interests. It is a systematic approach for targeting customers and providing maximum profit to the organizations. An important initial step is to analyze the data of sales from the purchase history and determine the parameters that have the maximum correlation. Based on respective clusters, proper resources can be channeled towards profitable customers using machine learning algorithms.