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Interactive checklist for every phase of your thesis
1. Introduction 2. Understanding Supply Chain Management 2.1 Definition and Scope 2.2 Key Components of Supply Chains 2.3 Traditional vs. Modern Practices 3. Artificial Intelligence: An Overview 3.1 Definition and Evolution 3.2 Core Technologies 3.3 AI in Business Context 4. AI Applications in Supply Chain Management 4.1 Demand Forecasting 4.2 Inventory Optimization 4.3 Supplier Relationship Management 4.4 Logistics and Transportation 4.5 Risk Management 5. Benefits of AI Integration 5.1 Increased Efficiency 5.2 Cost Reduction 5.3 Enhanced Decision Making 6. Challenges and Limitations 6.1 Data Privacy Concerns 6.2 Implementation Costs 6.3 Skills and Training Requirements 7. Case Studies and Real-World Examples 7.1 Amazon's AI-Driven Supply Chain 7.2 IBM Watson and Supply Optimization 7.3 Toyota's Predictive Inventory 8. Future Trends and Developments 8.1 AI and Blockchain Synergy 8.2 Robotics in Supply Chains 8.3 Predictive Analytics Evolution
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