Segmentation of customer groups using machine learning algorithms

Pratibodh - Journal Editor (1) , Chaklan Suyash (2) , Shorya (3) , Tushar (4) , Neelkmal (5)
(1) , India
(2) , India
(3) , India
(4) , India
(5) , India

Abstract

With the increased competition and saturation of marketplaces and consumers, doing well in the market has become
extremely difficult especially for relatively smaller retailers and newly established organizations. The best way to do
well in such a market is to understand your customers well and serve them accordingly. The manual labor to do that
with extensive tables and manual sheets is an unnecessary task with lengthy procedures. With the advancements in
technology and the smart innovation in computers has enabled us to do that task in a much easier and simplified way
without much guesswork. Here is an analysis of such segmentation of customers to better understand their
demographics and serve them better using modern day programming language, Python and the k-Means clustering
algorithm of SKlearn library

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Authors

Pratibodh - Journal Editor
editor@pratibodh.org (Primary Contact)
Chaklan Suyash
Shorya
Tushar
Neelkmal
Journal Editor, P. .-., Chaklan Suyash, Shorya, Tushar, & Neelkmal. (2024). Segmentation of customer groups using machine learning algorithms. PRATIBODH, (NCDSNS). Retrieved from https://pratibodh.org/index.php/pratibodh/article/view/184
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