Navigating the Future: Harnessing AI in Transportation and Logistics offers logistics leaders clear, practical guidance on adopting AI strategically to improve efficiency, strengthen resilience, and build long-term competitiveness.
For logistics, AI technologies are no longer just transforming spot-market transactions or ETA calculations; they are advancing into the operational core of logistical value creation – a topic that executives and IT decision-makers must address strategically today.
The whitepaper highlights how artificial intelligence, and specifically Agentic AI, will become an integral operational component of logistical processes in the coming years, rather than just a supporting tool. This shift will have a significant impact on efficiency, automation, and competitiveness. The focus is on the transition to hybrid human-AI teams, combined with clear strategic priorities in the areas of governance, skill development, and (sustainable) innovation.
Key Takeaways include:
- Agentic AI as the “Employee” of the Future: AI agents are becoming autonomous decision-makers that take over operational tasks and reduce the workload for human teams.
- Digital Twins & Cognitive Supply Chains: Virtual replicas of logistical networks are becoming a reality, enabling simulation, forecasting, and proactive planning instead of reactive problem-solving.
- Concrete Recommendations for Action: Practical steps for shippers and service providers regarding the initial deployment of Agentic AI, Autonomous Procurement, or Digital Twins.
- Industry Relevance: Logistics companies are on the verge of a paradigm shift—moving from data-centric visibility to AI-driven decision automation.
- Data: Statistics on the impact of driver shortages and supply chain disruptions are contrasted with the potential efficiency gains offered by the use of Agentic AI.
Jonah McIntire, Chief Platform and Technology Officer at Trimble, said: “At Trimble and Transporeon, we are building a platform where humans and AI agents collaborate to maximise supply chain efficiency and business growth. By embedding generative AI into the core, we aim to transform logistics into intelligent systems that autonomously manage complex workflows and provide our customers with AI agents that deliver optimal results.”
The whitepaper is available here: publications.transporeon.com/ai-whitepaper/
