Introduction
AI provides powerful tools to modernize supply chain management through demand forecasting, routing optimization, automation, and risk monitoring. This course teaches leaders how to apply AI to increase reliability, reduce costs, and enhance resilience. Real-world examples from global logistics networks illustrate key concepts. By the end, participants will understand how AI transforms supply chain operations and decision-making.
Course Objectives
- Understand AI applications in supply chains
- Optimize logistics and routing using AI
- Improve demand forecasting accuracy
- Reduce operational risk with predictive insights
- Create AI-enabled supply chain strategies
Target Audience
- Supply chain leaders
- Logistics coordinators
- Operations managers
- Industrial engineers
- Procurement teams
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Supply Chain AI Overview• Supply chain digitalization
• AI use cases
• Data sources
• Operational KPIs
• Case studies0 - Day 2: Demand & Inventory Forecasting• Time-series forecasting
• Inventory optimization
• Safety stock calculations
• Real-time forecasting
• Hands-on: Forecast demand0 - Day 3: Logistics Optimization• Route optimization
• Vehicle scheduling
• Warehouse automation
• Last-mile delivery AI
• Hands-on: Routing exercise0 - Day 4: Supply Chain Risk & Resilience• Disruption prediction
• Supplier risk modeling
• Early-warning systems
• Scenario planning
• Hands-on: Risk analysis0 - Day 5: AI Supply Chain Strategy• Network design
• Sustainability considerations
• Human–AI collaboration
• Long-term transformation plan
• Capstone project0
Instructor
Lessons:
