AI+ Supply Chain Practitioner™

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The AI+ Supply Chain Practitioner™ certification equips supply chain and logistics professionals with the knowledge and practical skills needed to apply artificial intelligence across modern supply chain operations.

The course explores AI-driven demand forecasting, inventory management, logistics optimisation, supply chain digitisation, generative AI, intelligent supply chain management and AI-assisted procurement. Participants also examine the ethical, operational and strategic implications of adopting AI, while gaining practical exposure to AI tools and real-world supply chain applications. The programme is designed to help professionals improve efficiency, reduce costs, strengthen decision-making and build more agile and resilient supply chains.

Duration

Self-Paced: Approximately 8 hours of on-demand content.
Includes on-demand video lessons, an e-book and podcasts, with modular quizzes to track progress.

Who Should Attend

Supply Chain Professionals: Enhance supply chain management skills by integrating AI tools for improved forecasting, inventory management and process optimisation.
Logistics & Operations Managers: Use AI to optimise logistics, route planning and warehouse management, improving operational efficiency and reducing costs.
Procurement Experts: Apply AI to supplier selection, demand forecasting and inventory replenishment to streamline procurement processes.
Business Leaders: Drive supply chain innovation by adopting AI technologies to automate workflows, predict demand and optimise end-to-end operations.
Students & New Graduates: Develop AI skills that are increasingly important in 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 to understand and apply AI-driven techniques in supply chain scenarios.

Course Content

Course Overview

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

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

Tools You’ll Explore

LeewayHertz (ZBrain)
C3.ai
Coupa (LLamasoft)
Zebra (Workcloud Demand Intelligence Suite)

Why This Certification Matters

Smarter Supply Chain Operations: Learn how AI can optimise logistics, reduce costs and improve supply chain efficiency from end to end.
Improved Demand Forecasting: Use AI-driven analytics to predict demand, improve inventory management and reduce stockouts or overstocking.
AI-Powered Supply Chain Innovation: Develop the expertise needed to support AI adoption and drive innovation as organisations increasingly digitise their supply chains.
Better Decision-Making: Use predictive analytics and AI algorithms to analyse supply chain data and support informed, real-time decisions.

Skills You’ll Gain

AI Integration in Supply Chain
Supply Chain Optimisation
Predictive Analytics
AI-Driven Demand Forecasting
Inventory Management
Logistics Management
Supply Chain Digitisation
Intelligent Supply Chain Management
AI-Assisted Procurement
Regulatory Compliance

Exam Details

Duration: 90 minutes
Passing Score: 70% (35/50)
Format: 50 multiple-choice/multiple-response questions
Delivery Method: Online via a proctored exam platform with flexible scheduling.