In this episode, I talk to Niklas Bergner about the potential of predictive analytics in the supply chain. We discuss how data-driven forecasting can help companies predict volumes, optimize inventory and make better decisions overall.

Niklas explains why data quality and accessibility are crucial for the success of AI-supported analyses and what challenges companies need to overcome during implementation. Another core topic: data competence in logistics - because without the right understanding of data, a lot of potential remains untapped.