Module 1: Introduction to Artificial Intelligence in Supply Chain
- 1.1 Overview of Artificial Intelligence in Supply Chain Management (SCM)
- 1.2 Transforming Supply Chains with AI
- 1.3 Ethical Implications of AI in Supply Chains
Module 2: Advanced AI Techniques for Supply Chain
- 2.1 Machine Learning in Supply Chain
- 2.2 Expert Systems in SCM
- 2.3 Integrating Images and Text in Supply Chain AI
Module 3: Generative AI in Supply Chain Management
- 3.1 The Origin of Generative AI
- 3.2 Generative AI in Revenue Management and Demand Forecasting
- 3.3 Transformer and LSTM Architectures in Generative AI
Module 4: Supply Chain Digitization
- 4.1 Introduction to Supply Chain Digitization
- 4.2 Supply Chain Integration and Push-Pull Strategies
- 4.3 Supply Chain Resiliency, Planning and Sustainability
Module 5: Intelligent Driven Supply Chain Management
- 5.1 Introduction to Smart SCM
- 5.2 Employing Smart SCM and Prompt Engineering
- 5.3 Future Trends of Smart SCM
Module 6: Industry Aspects of Advanced SCM
- 6.1 Introduction to Industrial SCM
- 6.2 Business Value from AI and Gen AI in Supply Chain
- 6.3 Risks and Challenges of Adopting AI and Gen AI in Industrial SCM
Module 7: Policies of Logistics Management in Supply Chain with AI
- 7.1 Role of Supply Chain Management in the Organization
- 7.2 Warehousing Strategy for Efficient Supply Chain Management
- 7.3 Technical Coverage of SCM with Multi-Dimensional Aspects
Module 8: Supply Chain Masterclass with AI Assistance
- 8.1 Supplier Selection and Relationship Management with AI
- 8.2 Mastering Advancements in SCM with Modern Artefacts
Optional Module: AI Agents for Supply Chain
- What Are AI Agents
- What Are AI Agents in Logistics and Supply Chain
- Applications & Trends of AI Agents in Supply Chain
- How Does an AI Agent Work
- Core Characteristics of AI Agents
- Key Advantages of AI Agents in Logistics and Supply Chain
- Types of AI Agents
Tools you will explore
- LeewayHertz (ZBrain)
- C3.ai
- Coupa (LLamasoft)
- Zebra (Workcloud Demand Intelligence Suite)
