SEGMENTATION FOR SERVICE PROVIDERS USING MACHINE LEARNING

Abstract

As the global population rises at an alarming rate, business of all kinds will need to begin segmenting their clientele. It's growing in importance in today's corporate world. This aids businesses in understanding their product positioning, which in turn helps them retain and benefit from their consumer base. The next idea to be examined is customer segmentation, which involves categorizing a business' clientele into subsets defined by shared traits and preferences. One of the most important tools available is machine learning, which uses a variety of algorithms to uncover previously unseen patterns in data that can then be used to inform decisions. An unsupervised machine learning clustering technique called "k-means" is used to carry out this strategy.