AI in Supply Chain
Introduction
Artificial Intelligence is reshaping supply chain operations by improving forecasting accuracy, increasing visibility, optimizing logistics, and enabling faster decision-making. From demand planning to last-mile delivery, AI helps organizations operate with greater efficiency, agility, and resilience. This program introduces the practical applications of AI across the supply chain and equips professionals with the tools to leverage data-driven insights for continuous improvement.
Objective
- Understand how AI enhances supply chain performance and decision-making.
- Learn key AI applications in demand forecasting, inventory optimization, and logistics.
- Identify opportunities to automate processes and reduce operational costs.
- Strengthen supply chain resilience using predictive and prescriptive analytics.
- Develop strategies to integrate AI across supply chain functions responsibly and effectively.
Outline
- Overview of AI’s role in modern supply chains
- AI for forecasting, planning, and inventory management
- Intelligent logistics: routing, delivery optimization, warehouse automation
- Predictive analytics for risk detection and demand shifts
- Integrating AI tools into existing supply chain systems
- Challenges, ethics, and best practices for AI implementation


