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.
AI Is Already Reshaping Transportation Management
The panelists agreed that AI is already reshaping transportation management, although organizations remain at different stages of adoption.
Carlo Pinamonti summarized the business value well. “Our customers expect speed, transparency and flexibility,” he said. “Using AI together with more than 80 years of transportation experience allows us to respond quickly to market demands and make smart operational decisions.”
That reflects where many companies are today. AI is already helping transportation teams work faster and make better decisions, even as many organizations remain in the early stages of adoption. As Lucia Danisova noted, many companies are still taking “baby steps,” while Denys Kochurin argued that the shift is already underway and will only accelerate.
The conversation also made clear that AI should not be viewed simply as another technology implementation. As Bernhard Schmaldienst emphasized, organizations making the most progress are treating AI as a business transformation initiative. Success depends not only on the technology itself, but also on data quality, solving tangible business problems, and securing stakeholder buy-in. As he put it, “AI is both overhyped and underestimated.”
That observation captures today’s reality well. Some organizations overestimate what AI can accomplish in the near term, while others underestimate how profoundly it may reshape transportation management over the longer term. As I noted during the discussion, “we don’t know what we don’t know.” Five years from now, transportation leaders will likely be discussing AI capabilities that are difficult to imagine today.
Another recurring theme was connected data. Transportation depends on information flowing across shippers, carriers, logistics providers, customers, and technology platforms, yet much of that information remains trapped in disconnected systems.
Stefan Kremsner described this as one of the biggest barriers to realizing AI’s full potential. “The more information we have, the better we can plan,” he said. “The more information is available for the AI to make decisions, the better they can be.” By connecting data across ERP, TMS, warehouse, production, and partner systems, AI can help organizations make smarter planning decisions and optimize operations across the broader transportation network.
For additional insights from the webinar, including practical AI use cases, the changing role of transportation professionals, the shift from reactive firefighting to predictive decision-making, and the importance of trust and governance, please read the rest of the post on Transporeon’s blog.
[Editor’s Pick] The AI Shift in Transportation Management
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.
AI Is Already Reshaping Transportation Management
The panelists agreed that AI is already reshaping transportation management, although organizations remain at different stages of adoption.
Carlo Pinamonti summarized the business value well. “Our customers expect speed, transparency and flexibility,” he said. “Using AI together with more than 80 years of transportation experience allows us to respond quickly to market demands and make smart operational decisions.”
That reflects where many companies are today. AI is already helping transportation teams work faster and make better decisions, even as many organizations remain in the early stages of adoption. As Lucia Danisova noted, many companies are still taking “baby steps,” while Denys Kochurin argued that the shift is already underway and will only accelerate.
The conversation also made clear that AI should not be viewed simply as another technology implementation. As Bernhard Schmaldienst emphasized, organizations making the most progress are treating AI as a business transformation initiative. Success depends not only on the technology itself, but also on data quality, solving tangible business problems, and securing stakeholder buy-in. As he put it, “AI is both overhyped and underestimated.”
That observation captures today’s reality well. Some organizations overestimate what AI can accomplish in the near term, while others underestimate how profoundly it may reshape transportation management over the longer term. As I noted during the discussion, “we don’t know what we don’t know.” Five years from now, transportation leaders will likely be discussing AI capabilities that are difficult to imagine today.
Another recurring theme was connected data. Transportation depends on information flowing across shippers, carriers, logistics providers, customers, and technology platforms, yet much of that information remains trapped in disconnected systems.
Stefan Kremsner described this as one of the biggest barriers to realizing AI’s full potential. “The more information we have, the better we can plan,” he said. “The more information is available for the AI to make decisions, the better they can be.” By connecting data across ERP, TMS, warehouse, production, and partner systems, AI can help organizations make smarter planning decisions and optimize operations across the broader transportation network.
For additional insights from the webinar, including practical AI use cases, the changing role of transportation professionals, the shift from reactive firefighting to predictive decision-making, and the importance of trust and governance, please read the rest of the post on Transporeon’s blog.
TAGS
Subscribe to Our YouTube Channel
TOPICS
Categories
Subscribe to Our Podcast
TRENDING POSTS
Sponsors