Customer Behaviour Analysis The system collects and analyses both in-store and online customer data using machine learning algorithms and data analytics platforms. It tracks purchase histories, browsing patterns, and demographic information to identify spending habits, popular products, and customer preferences. Techniques such as clustering (e.g., K-Means) and association rule mining (e.g., Apriori algorithm) will segment customers into meaningful groups and uncover frequent purchasing patterns. Mehr sehen