The separation of the market into a discrete customer group of customers with comparable characteristics is known as customer segmentation. Client segmentation may be an effective tool for identifying unmet customer demands. The advent of a slew of new rivals and entrepreneurs has created a lot of friction among competing firms as they try to gain new customers while keeping the ones they already have. The k-means clustering technique is utilized in this research for this purpose. Segmentation of customers allows a business to personalize its interactions with consumers, much as we do in our daily lives. We discovered that each customer's behavior and demands had similar features when we segmented them. Then they're grouped together to meet needs using diverse ways. Doing segmentation manually can be exhausting. That is why we have implemented Machine Learning Algorithm to do for us.