Introduction
Artificial intelligence and automation are redefining how supply chains operate, enabling unprecedented efficiency and responsiveness. This course provides advanced knowledge of AI applications, robotic process automation, and intelligent optimization engines. Participants will learn how to deploy AI solutions and evaluate technological readiness across operations. Case studies illustrate high-impact transformations.
Course Objectives
- Understand AI applications in supply chains
- Evaluate automation technologies
- Implement AI-driven decision tools
- Improve operational efficiency
- Lead digital transformation initiatives
Target Audience
- AI transformation teams
- Supply chain engineers
- Automation specialists
- Digital strategy leads
- Analysts and architects
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: AI Supply Chain Landscape• AI opportunities
• Machine learning categories
• Intelligent planning systems
• AI in logistics
• AI maturity models0 - Day 2: Automation Technologies• RPA workflows
• Warehouse robotics
• Automated decision engines
• Computer vision applications
• Automation ROI0 - Day 3: Intelligent Optimization• AI-based routing
• Predictive inventory control
• AI forecasting
• Dynamic pricing
• Optimization algorithms0 - Day 4: Implementation Strategy• Technology selection
• Integration planning
• Change management
• Pilot rollout
• Scaling innovations0 - Day 5: AI Transformation Project• Identify use case
• Build concept model
• Evaluate impacts
• Risk and readiness assessment
• Executive-level presentation0
Instructor
Lessons:
