Programme Content
Day 1: Generative AI in Supply Chain – Applications and Impact
Session 1:
Introduction to generative AI tools and technologies (DALL·E for visualization, ChatGPT for decision support).
Session 2:
Case Study: How Amazon uses AI to optimize delivery schedules and manage seasonal demand.
Session 3:
Exercise: Using generative AI for supplier relationship management (e.g., AI-assisted negotiation simulations).
Day 2: Talent Management in an AI-Driven World
Session 1:
Real examples of AI-induced workforce transformations at companies like Unilever (upskilling programs powered by generative AI).
Session 2:
Exercise: Using Synthesia to create employee training programs for AI-enabled supply chain systems.
Session 3:
Designing reskilling pathways using AI-based tools (e.g., Courseras SkillSets platform).
Day 3: Decision-Making with AI – Forecasting and Optimization
Session 1:
Practical demo: How Tesla uses predictive analytics for demand forecasting and inventory control.
Session 2:
Workshop: Using ChatGPT and other tools for real-time demand forecasting in a simulated environment.
Session 3:
Case Study: Coca-Colas AI-driven distribution network optimization.
Day 4: Practical Applications of AI Tools in Supply Chain
Session 1:
Hands-on Workshop: Using Tableau + generative AI plugins for data visualization and decision-making.
Session 2:
Scenario: Developing a just-in-time (JIT) inventory system using generative AI tools (examples from Toyotas practices).
Session 3:
Case Study: How startups like Flexport leverage AI to disrupt traditional supply chains.
Day 5: Change Management and AI Leadership
Session 1:
Simulation: Managing resistance to AI implementation within a large manufacturing firm.
Session 2:
Leadership Panel: Insights from PepsiCo and Siemens executives on embedding AI into global supply chains.
Session 3:
Group Presentations: Participants design an actionable roadmap for generative AI adoption tailored to their industry.
