AI+ Supply Chain™
Transforming Supply Chain Management
This course provides a comprehensive introduction to AI in logistics, operations, and supply chain digitization. Learners gain hands-on experience developing advanced supply strategies and workflows that drive efficiency and innovation. The program also includes sector-specific solutions, offering tailored sessions to address real-world challenges across industries. Finally, participants are prepared to lead AI-enabled supply chain initiatives, building the skills needed to optimize operations and drive measurable business impact.
Enrollment Fee:
MUR 6,045
What You'll Learn
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
2.1 Machine Learning in Supply Chain
2.2 Expert Systems in SCM
2.3 Integrating Images and Text in Supply Chain AI
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
4.1 Introduction to Supply Chain Digitization
4.2 Supply Chain Integration and Push-Pull Strategies
4.3 Supply Chain Resiliency, Planning and Sustainability
5.1 Introduction to Smart SCM
5.2 Employing Smart SCM and Prompt Engineering
5.3 Future Trends of Smart 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
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
8.1 Supplier Selection and Relationship Management with AI
8.2 Mastering Advancements in SCM with Modern Artefacts
- 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
Prerequisites
- Foundational knowledge of supply chain concepts, processes, and operations.
- A general understanding of Artificial Intelligence, including machine learning and data analytics, is recommended.
- Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.
- Strong analytical and problem-solving skills are essential to understand and apply AI-driven techniques in supply chain scenarios.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 6,045