This presentation explores the transformative potential of machine learning (ML) in Supply Chain Management and Operations. By analyzing various real-world use cases, we will demonstrate how ML technologies can optimize inventory management, demand forecasting, and reliability, among others. Attendees will gain insights into practical applications of ML, its benefits, and lessons learned about broader implementation strategies.

In this session, you will learn:

• How a strategic approach to ML implementation in SCM could look like
• How to get stakeholder buy-in for pilots and implementations
• Best practices for implementing ML solutions in existing supply chain infrastructures
• How machine learning can optimize demand forecasting to reduce inventory costs and prevent stockouts