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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.
By Der Podcast über die Zukunft der LogistikIn 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.

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