Customer Segmentation using Machine Learning in Python

Abstract

If you’re looking to increase sales and sell your items more effectively, you’ll need to segment your clients. Distinguishing clients based on similar features is the goal of segmentation. To make sound business decisions, you must separate your customers into distinct groups. Customer requirements and new customer discovery are critical in today’s global competitiveness, but this must be done at the appropriate time and in the right manner. Identifying unmet customer demands can be accomplished through customer segmentation. The K-Means procedure is the most economical yet simplest to use of all Clustering strategies when it comes to segmenting clients among all the analysis methods accessible. Data visualisation and categorization of each customer’s specific needs will help us make more informed marketing decisions as a result of this project. This allows enterprises to produce unique products and services in real-time, beating the competition.

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