The project aims to perform customer segmentation for an online retail company using unsupervised machine learning techniques. The dataset used in this project contains Invoice no of customers, Stock code, product decription, and Unit price,etc.
The insights obtained from the clustering results can be used to create targeted marketing strategies, improve customer experience, and increase customer retention for the online retail company. For instance, the company can use the segment information to offer personalized product recommendations and promotions to each segment, improving their shopping experience and ultimately driving sales.