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Enter the world of Supply Chain & Logistics case scenarios! Explore a comprehensive set of real-world, researchable challenges that span demand forecasting, inventory optimization, transportation analytics, supplier management, warehouse operations, network design, risk management, sustainability, customer service, and digital transformation. Each scenario is crafted to be solved using standard data science and analytics processes, mirroring the complexity and innovation driving today’s global supply chains. Whether you’re interested in predicting demand, optimizing routes, managing risks, or leveraging emerging technologies like IoT, AI, and blockchain, these cases offer hands-on opportunities to apply analytics for smarter, more resilient, and sustainable supply chain solutions. Discover how data-driven insights are transforming logistics, one scenario at a time!


Real-World Data Science Case Scenarios: Supply Chain & Logistics

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