3-5 November 2026 | Jaarbeurs, Utrecht

LogiNext Talks

During ICT&Logistics and Logistica Next, LogistiekMet's Martijn Graat talked to several speakers. In these short interviews, they look back on their presentation and share key insights.

On this page, you will find an overview of these talks. Let us take you through the main themes, innovations and challenges at play within the logistics sector, told by the experts themselves.

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Anneloes van Klaveren | How do you get started with AI in logistics?

During ICT&Logistics and Logistica Next, Anneloes van Klaveren gave the session "One kilo of AI, please". A title that aptly captures what many organisations are struggling with today: everyone is talking about AI, but how do you actually deploy it to make logistics processes smarter and more efficient?

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Martijn Lofvers | Trends and challenges in logistics

In the fourth episode of LogiNext Talks, Martijn Lofvers, CEO of Supply Chain Media, talks about the changes in the logistics sector. From strategic planning to operational execution, the growing pressure from staff shortages and the rapid rise of automation and (mobile) robots.

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Annemiek Jansen and Arjen Wierikx | The role of logistics in a circular economy

In the third episode of LogiNext Talks, Martijn Graat talks to Annemiek Jansen and Arjen Wierikx about the role of logistics in the circular economy. Arjen explains the role of logistics in this, while Annemiek explains what companies can do to make a greater contribution to the circular economy.

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Jasper de Goeij | Automation: grip on your business or dependency?

Does automation make companies dependent, or stronger through more control and insight? Jasper from GEBHARDT Intralogistics Group explains that grip on processes is essential and that automation actually helps to structure, improve and automate processes, also for smaller organisations.

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Alexandros Visser | AI in logistics: human-machine collaboration

How do people and AI work together optimally in logistics? In this video, AI entrepreneur Alexandros explains why so many AI projects fail, how to involve employees in AI implementations and which processes lend themselves best to AI automation.

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