AI+ Supply Chain™

Module 1: Introduction to Artificial Intelligence in Supply Chain.

1. 1.1 Overview of Artificial Intelligence in Supply Chain
   Management (SCM)
2. 1.2 Transforming Supply Chains with AI
3. 1.3 Ethical Implications of AI in Supply Chains

Module 2: Advanced AI Techniques for Supply Chain.

1. 2.1 Machine Learning in Supply Chain
2. 2.2 Expert Systems in SCM
3. 2.3 Integrating Images and Text in Supply Chain AI

Module 3: Generative AI in Supply Chain Management.

1. 3.1 The Origin of Generative AI
2. 3.2 Generative AI in Revenue Management and Demand
   Forecasting
3. 3.3 Transformer and LSTM Architectures in Generative AI

Module 4: Supply Chain Digitization.

1. 4.1 Introduction to Supply Chain Digitization
2. 4.2 Supply Chain Integration and Push-Pull Strategies
3. 4.3 Supply Chain Resiliency, Planning and Sustainability

Module 5: Intelligent Driven Supply Chain Management.

1. 5.1 Introduction to Smart SCM
2. 5.2 Employing Smart SCM and Prompt Engineering
3. 5.3 Future Trends of Smart SCM

Module 6: Industry Aspects of Advanced SCM.

1. 6.1 Introduction to Industrial SCM
2. 6.2 Business Value from AI and Gen AI in Supply Chain
3. 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.

1. 7.1 Role of Supply Chain Management in the Organization
2. 7.2 Warehousing Strategy for Efficient Supply Chain
   Management
3. 7.3 Technical Coverage of SCM with Multi-Dimensional
   Aspects

Module 8: Supply Chain Masterclass with AI Assistance.

1. 8.1 Supplier Selection and Relationship Management with
   AI
2. 8.2 Mastering Advancements in SCM with Modern Artefacts

Optional Module: AI Agents for Supply Chain.

1. 1. What Are AI Agents
2. 2. What Are AI Agents in Logistics and Supply Chain
3. 3. Applications & Trends of AI Agents in Supply Chain
4. 4. How Does an AI Agent Work
5. 5. Core Characteristics of AI Agents
6. 6. Key Advantages of AI Agents in Logistics and Supply Chain
7. 7. Types of AI Agents