Customer Segmentation of Indian restaurants on the basis of geographical locations using Machine Learning

Abstract

In today’s world where there has been a significant change that have occurred over the past few decades in the general lifestyle of people many technological advancements have taken place which has uplifted the living standards of people significantly. As a result of these changes many new businesses and entrepreneurs are emerging on a rapid basis and there is cut-throat competition between the businesses competing in the same domain to retain their old customers and add new customers so that the respective businesses could grow and prosper. To do so the organizations must provide extremely good services to the customer regardless the business operates on small scale or large scale. Also, the ability of a business to interpret what their customer’s needs, and desires are will not only help them amass a much higher customer support but would also help them formulate customer service plans which would be formed based on customer’s requirements thus boosting the organizations respective business. To attain such knowledge and understanding the approach of customer services in a structured manner could be adopted. All the customers who will be in the same segment will be having similar market features. The emergence of many machine learning techniques has promoted the usage of customer segmentation techniques which are automated in nature which work in the favour of traditional analytics of the market which often fail to work efficiently when the customer base is significantly larger. In this paper, the K-Means Clustering algorithm has been implemented to serve the purpose.