Our whitepaper “Agentic AI in Logistics: From Data Infrastructure to Operational Intelligence” is live. Co-authored by Violetta Matzoros Senior Technical Manager at Smart Freight Centre, Oscar Söderlund, Software Engineer at Way – Powering Smarter Fleets & Founding Investor at Greens Ventures, Raimundo Henriques, Software Developer & iLEAP Project Lead at SINE Foundation, and Viktoria Kindesjö Sustainability & Customer Success Lead at Pathfinder AI.

The paper draws on direct practitioner experience in fleet analytics, electrification planning, and data exchange standards. It builds on insights from SmartFreightWeek 2026 and connects technical capabilities with standards such as iLEAP and ISO 14083.

Agentic AI is rapidly becoming a competitive differentiator in logistics, with the supply chain management software market utilizing agentic AI capabilities projected to grow over 2500% in five years, reaching $53 billion. Yet the gap between expectation and operational reality remains wide. A key argument of this paper is that whether an AI deployment succeeds or fails depends less on AI itself, and more on the underlying data: its availability, quality, and the processes and standards governing it.

The whitepaper is relevant for logistics practitioners in operations, sustainability, and digital roles moving from AI experimentation toward practical, scalable deployment. It covers what agentic AI actually is, where it reliably creates value today, common misconceptions behind costly deployments, and why open standards like iLEAP are essential for reliable AI performance.

Thanks to all contributors for their openness and expertise; a collective step toward more reliable data, stronger governance, and effective AI across logistics