Artificial Intelligence for Container Repositioning

Birgit Davidia, Account Executive for Energy at Microsoft, is set to share her insights on leveraging Artificial Intelligence for efficient container repositioning in the global supply chain. With her expertise at the intersection of technology and logistics, she will explore how AI can optimize the movement of empty containers, reduce operational costs, and enhance fleet utilization. Birgit will highlight how data-driven intelligence enables predictive planning, identifies repositioning opportunities in real time, and supports sustainability by minimizing unnecessary container moves—ultimately transforming how the shipping and logistics sectors tackle one of their most persistent inefficiencies.

He will share his views on how advanced optimization techniques like Machine Learning and Reinforcement Learning are reshaping the landscape of container repositioning. By comparing these two cutting-edge approaches, he will explore their effectiveness in predicting demand, optimizing routes, and minimizing repositioning costs. Through a best practice example and a technical demonstration, he will showcase how AI-driven models can dynamically adapt to shifting logistics challenges, improve decision-making accuracy, and deliver measurable efficiency gains across the global container supply chain.

1. Advanced Optimization with Machine Learning vs Reinforcement Learning
 

2. Best Practise Example & Technical Demonstration