This project focuses on customer segmentation for car dealerships using K-Means clustering. By analyzing customer data such as buying history, car preferences, and price sensitivity, the system divides customers into groups. These segments help car dealerships optimize their sales strategies and offer personalized promotions to increase sales and improve customer satisfaction.
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