Goal: To create an intelligent recommendation engine that leverages customer behavior data to optimize engagement, increase sales, and improve customer satisfaction by delivering personalized product suggestions, actionable insights, and performance metrics for e-commerce businesses.
Summary: The SmartCart Recommendation System enhances e-commerce by addressing challenges like cart abandonment and generic recommendations, offering personalized shopping experiences through behavioral segmentation and dynamic product recommendations.
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Learning Outcome: Developing this system provided deep insights into segmentation, actionable recommendations, and feature prioritization. It demonstrated how AI-driven strategies can reduce cart abandonment, enhance customer loyalty, and drive scalable e-commerce growth.