Supermarket

This outline explores supermarket customer analytics, covering behavioral insights, dataset features, advanced data processing, customer segmentation, and predictive modeling strategies for identifying high spenders. The analysis highlights applications in retail strategies, such as personalized marketing, inventory planning, and customer loyalty enhancements. It concludes with key takeaways and future opportunities in retail analytics.