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Step into the fast-paced world of Retail & E-commerce case scenarios! Explore a rich collection of real-world, researchable challenges that cover every aspect of modern retail—from customer analytics and personalization to pricing, inventory, product assortment, marketing, fraud detection, store operations, digital experience, returns, and emerging technologies. Each scenario is designed to be solved using standard data science and analytics processes, reflecting the complexity and innovation driving today’s retail landscape. Whether you’re interested in predicting demand, optimizing promotions, personalizing shopping experiences, or leveraging the latest in AR, IoT, and blockchain, these cases offer hands-on opportunities to apply analytics for smarter, more engaging, and profitable retail solutions. Discover how data-driven insights are transforming retail, one scenario at a time!


Real-World Data Science Case Scenarios: Retail & E-commerce

Robotic Process Automation (RPA) technology to automate business tasks with AI. Concept with expert setting up automated software on laptop computer. Digital transformation and change management.

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