Leveraging AI for Resilient Supply Chains

Overview

Discover how AI transforms supply chain management through advanced forecasting, cost optimization, and resilience strategies while addressing modern global disruption challenges.

Syllabus

• Introduction to Supply Chain Resilience
Definitions and concepts of supply chain resilience
Overview of modern global disruption challenges
• AI in Supply Chain Management
History and evolution of AI in supply chains
Key AI technologies used in supply chain management
• Advanced Forecasting Techniques
Demand forecasting using AI
Inventory optimization with predictive analytics
Case studies: Successful AI forecasting implementations
• Cost Optimization in Supply Chains
Leveraging AI for cost reduction
Resource allocation and efficiency improvements
Use cases: AI-driven cost savings
• Resilience Strategies Through AI
AI tools for risk assessment and mitigation
Enhancing supply chain flexibility with AI
Scenarios and response planning using AI simulations
• Addressing Global Disruption Challenges with AI
AI-driven solutions for geopolitical risks
Mitigating supply chain disruptions from pandemics and natural disasters
• Ethical Considerations and Challenges
Data privacy and security in AI applications
Ethical AI practices in supply chain decision-making
• Future Trends and Innovations in AI for Supply Chains
Emerging AI technologies and their impact
The role of AI in sustainable supply chain practices
• Conclusion and Best Practices
Summary of key learnings
Best practices for integrating AI in supply chain management
• Assessment and Final Project
Practical application: Develop an AI-driven strategy for a hypothetical supply chain challenge
Peer review and feedback on final projects

Subjects

Business