AI + Supply Chain 

Duration

• Instructor-Led: 1 days (live or virtual)
• Self-Paced: 8 hours of content

Who Should Attend

• Supply Chain Professionals: Enhance your supply chain management skills by integrating AI tools for improved forecasting, inventory management, and process optimization.
• Logistics & Operations Managers: Learn to leverage AI for optimizing logistics, route planning, and warehouse management to enhance operational efficiency and reduce costs.
• Procurement Experts: Use AI to improve supplier selection, demand forecasting, and inventory replenishment, streamlining procurement processes.
• Business Leaders: Drive innovation in your supply chain by adopting AI technologies to automate workflows, predict demand, and optimize end-to-end operations.
• Students & New Graduates: Gain a competitive advantage in the supply chain field by mastering AI tools and techniques that are transforming global logistics and supply chain management.

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.

Course Content

Course Introduction

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

Why This Certification Matters

• Leverage AI for Smarter Supply Chain Operations: Learn how AI tools can optimize logistics, reduce costs, and improve supply chain efficiency from end to end.
• Optimize Demand Forecasting with AI: Use AI-driven analytics to predict demand, streamline inventory management, and reduce stockouts or overstocking.
• Stay Ahead in AI-Powered Supply Chain: As industries increasingly adopt AI, professionals with AI supply chain expertise are in high demand to drive innovation and efficiency.
• Enhance Decision-Making with Predictive Analytics: Master AI algorithms to analyze supply chain data and make informed, real-time decisions to improve overall operations.

Exam Details

• Duration- 90 minutes
• Passing score- 70% (35/50)
• Format- 50 multiple choice/ multiple response questions