Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Procurement and sourcing professionals
• Supply chain, logistics, and operations managers
• Data analysts and digital transformation officers
• ERP and supply chain system implementers
• Business leaders seeking to future-proof their supply chain function

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

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

• Understand core AI technologies relevant to supply chain and procurement
• Identify and apply AI tools to optimize procurement, logistics, and demand planning
• Leverage machine learning for supplier selection, risk analysis, and forecasting
• Evaluate and implement AI-driven platforms in supply chain operations
• Develop a roadmap for AI adoption in procurement and supply chain strategies

DAY 1

Introduction to AI in the Supply Chain Context

• Welcome and introduction
• Pre-test
• AI fundamentals: machine learning, NLP, computer vision, RPA
• Overview of supply chain and procurement processes
• How AI adds value: efficiency, visibility, and predictive capabilities
• Current trends and challenges in digital supply chains
• Case study

DAY 2

AI in Procurement and Sourcing

• Automating supplier discovery and e-procurement with AI
• AI in contract analysis and spend analytics
• Machine learning for supplier evaluation and negotiation strategy
• Predictive procurement and dynamic pricing models
• Workshop

DAY 3

AI in Logistics and Inventory Management

• AI for route optimization and last-mile delivery
• Forecasting demand using machine learning models
• Inventory optimization with real-time AI decision systems
• IoT and sensor integration in intelligent warehousing
• Group exercise

DAY 4

Risk Management and Decision Intelligence

• AI for supply chain risk prediction and disruption response
• Leveraging AI for ESG and sustainability compliance
• Fraud detection and anomaly analysis in procurement transactions
• Real-time dashboards and decision support systems
• Group exercise

DAY 5

AI Strategy, Implementation, and Future Outlook

• Building a digital roadmap for AI in supply chain
• Integration with ERP and procurement platforms (SAP, Oracle, Coupa)
• Data quality, ethics, and governance in AI-driven supply chains
• Final project
• Course wrap-up and action planning
• Post-test
• Certificate ceremony