Note: Today’s post is part of our “Editor’s Pick” series where we highlight posts published by our sponsors that provide practical knowledge and advice on timely and important supply chain and logistics topics. This post, published by Transporeon, is a guest commentary written by Adrian Gonzalez sharing the key themes and takeaways from a webinar conversation he moderated with industry executives on the impact of AI on logistics and transportation operations.
Artificial Intelligence has quickly become one of the most talked-about topics in supply chain and logistics. While opinions vary on how quickly it will transform the industry, few doubt that transportation management is entering a period of significant change.
The Pulse Report 2026 explored this shift through survey data from more than 230 shippers, carriers and logistics service providers across Europe and North America. When respondents were asked, for example, what benefits they expect Agentic AI could bring to transportation operations, “reduced manual work” topped the list at 66%, followed closely by cost savings and faster decision-making.
Those findings framed a recent webinar conversation I moderated, hosted by Transporeon, featuring Lucia Danisova from Bekaert, Carlo Pinamonti from FERCAM, Denys Kochurin from Hegelmann Express, Stefan Kremsner from S2data and Bernhard Schmaldienst from Trimble.
Here are the key themes and takeaways from the discussion.
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The First Half of 2026: What’s Changed, What’s Worked, and What’s Next
The first half of 2026 has been anything but predictable. Tariffs, geopolitical tensions, AI advancements, changing transportation market conditions, and other developments have created new challenges — and new opportunities — for supply chain organizations. As we reach the midpoint of the year, we’d like to understand what has had the greatest impact on your organization, what has surprised you, where you’ve made the most progress, and what priorities will shape the months ahead.
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AI in Supply Chain: Why Data and Context Matter
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