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AI+ Supply Chain™ (Classroom Training)

AI+ Supply Chain™ (Classroom Training)

AI + Supply Chain course provides a thorough examination of how Artificial Intelligence (AI) is changing supply chain management, covering basic concepts up to advanced uses. It includes key subjects like AI methods for improving supply chains, the impact of generative AI on developing strategies, and the digitalization of supply chain operations. The course also delves into decision-making guided by AI, applications specific to various industries, and the incorporation of AI into managing logistics. The last module offers a practical workshop where participants can utilize AI concepts for actual supply chain problems, getting them ready to spearhead AI-based advancements in their companies.

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AI+ Supply Chain Practitioner™ – Course Outline


Program Overview

The AI+ Supply Chain Practitioner™ certification is a practical, industry-focused program designed to equip learners with the knowledge and applied skills required to transform modern supply chain operations using Artificial Intelligence (AI) and Generative AI technologies. As global supply chains become increasingly complex, data-driven, and digitally connected, AI plays a critical role in improving forecasting accuracy, demand planning, logistics optimization, supplier management, and end-to-end visibility.

This program introduces participants to how AI is reshaping supply chain management across procurement, manufacturing, warehousing, distribution, and retail operations. Learners will explore predictive analytics, machine learning models, generative AI applications, and intelligent automation tools that enhance decision-making and operational efficiency.

The course also focuses on supply chain digitization, resilience planning, sustainability practices, and risk mitigation strategies supported by AI-driven insights. Participants will gain exposure to real-world industry scenarios and hands-on applications that demonstrate how intelligent systems improve supply chain performance.

By the end of the program, learners will be able to understand AI-enabled supply chain ecosystems and apply AI tools to improve efficiency, responsiveness, and resilience across supply chain networks.


Course Objectives

By the end of this program, participants will be able to:

• Understand the role of Artificial Intelligence in modern supply chain management
• Apply AI techniques to improve forecasting, planning, and demand management
• Use machine learning models for supply chain optimization and decision-making
• Understand generative AI applications in logistics and revenue management
• Analyze supply chain data using AI-driven tools and techniques
• Improve supply chain visibility through intelligent systems and analytics
• Understand digitization and integration of supply chain processes
• Evaluate risks, disruptions, and resilience strategies using AI insights
• Apply AI concepts in procurement, warehousing, and logistics management
• Understand ethical, operational, and business implications of AI in SCM


Target Audience

This program is designed for:

• Supply chain professionals and managers
• Procurement and logistics specialists
• Operations and warehouse managers
• Business analysts in supply chain and operations
• ERP and enterprise systems professionals
• Data and AI professionals entering supply chain domains
• Manufacturing and retail operations staff
• Consultants in logistics and supply chain transformation
• Students and graduates in business, operations, or engineering
• Professionals seeking to transition into supply chain or AI roles


Course Duration

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


Assessment

Assessment is designed to evaluate both conceptual understanding and practical application of AI in supply chain environments:

• Module-based quizzes covering AI and supply chain fundamentals
• Case study analysis of real-world supply chain transformations
• Scenario-based problem-solving exercises
• Practical assignments on demand forecasting and logistics optimization
• Hands-on exercises using AI-driven supply chain concepts
• Final capstone project demonstrating an AI-enabled supply chain solution (e.g., demand forecasting model, supplier optimization system, or intelligent logistics dashboard)


Certification

Upon successful completion of all assessments and the final capstone project, participants will be awarded the AI+ Supply Chain Practitioner™ Certification.

This certification validates the learner’s ability to apply Artificial Intelligence and Generative AI concepts in supply chain environments to improve planning, efficiency, resilience, and decision-making.


Training Methodology

The program follows a practical, applied, and industry-oriented learning approach:

• Instructor-led virtual or classroom training sessions
• Interactive lectures combining supply chain management and AI concepts
• Real-world case studies from logistics, manufacturing, and retail industries
• Scenario-based learning for supply chain disruption and optimization
• Hands-on exercises using AI-driven supply chain tools and models
• Project-based learning for applied supply chain problem solving
• Guided discussions on digitization, resilience, and sustainability
• Continuous engagement through practical exercises and applied simulations


Course Modules

Module 1: Introduction to Artificial Intelligence in Supply Chain

• Overview of Artificial Intelligence in Supply Chain Management (SCM)
• Transforming Supply Chains with AI
• Ethical Implications of AI in Supply Chains

Module 2: Advanced AI Techniques for Supply Chain

• Machine Learning in Supply Chain
• Expert Systems in SCM
• Integrating Images and Text in Supply Chain AI

Module 3: Generative AI in Supply Chain Management

• The Origin of Generative AI
• Generative AI in Revenue Management and Demand Forecasting
• Transformer and LSTM Architectures in Generative AI

Module 4: Supply Chain Digitization

• Introduction to Supply Chain Digitization
• Supply Chain Integration and Push-Pull Strategies
• Supply Chain Resiliency, Planning and Sustainability

Module 5: Intelligent Driven Supply Chain Management

• Introduction to Smart SCM
• Employing Smart SCM and Prompt Engineering
• Future Trends of Smart SCM

Module 6: Industry Aspects of Advanced SCM

• Introduction to Industrial SCM
• Business Value from AI and Gen AI in Supply Chain
• Risks and Challenges of Adopting AI and Gen AI in Industrial SCM

Module 7: Policies of Logistics Management in Supply Chain with AI

• Role of Supply Chain Management in the Organization
• Warehousing Strategy for Efficient Supply Chain Management
• Technical Coverage of SCM with Multi-Dimensional Aspects

Module 8: Supply Chain Masterclass with AI Assistance

• Supplier Selection and Relationship Management with AI
• 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

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