DHL Radar Tracks AI, Workforce Changes and Sustainability in Logistics

AI is beginning to take on work across supply chains, from spotting inventory risks to adjusting transport plans. DHL’s Logistics Trend Radar 8.0 describes a shift from software that assists people to systems that can plan and act toward defined goals. That change puts workforce preparation, operational oversight and sustainability alongside technology adoption as practical concerns for logistics businesses.

The report links advances in AI, robotics and automation with changes to the work itself. Its central implication is that companies will need to consider how new systems fit into daily operations and how employees can use them effectively. The technology may handle more analysis and routine decisions, while human expertise remains relevant to supervision, problem-solving and customer needs.

From analysis to action

Agentic AI is one of the most impactful trends identified in the Radar. Earlier AI tools typically responded to prompts or analyzed information. Agentic systems can plan, decide and act toward goals, allowing them to work more independently while still operating alongside people. That distinction matters in logistics because decisions often connect several moving parts, including inventory, shipments and available transport capacity.

AI Analytics adds a related capability: finding patterns, anticipating disruptions, forecasting outcomes and recommending responses at speed and scale. Together, the technologies point toward supply chains that can adapt their plans as conditions change. The Radar gives examples such as anticipating an inventory shortage, rerouting shipments around a disruption and adjusting transport capacity in real time.

These examples describe potential uses, not a claim that every operation already runs autonomously. For a logistics team, the practical question is where faster analysis or automated action can help, and where a person still needs to review the decision. As systems take on more responsibility, the quality of their inputs, the limits placed on their actions and the ability to intervene become part of how the operation is managed.

The Radar also adds trends that show AI’s reach beyond operational planning. AI Commerce concerns how consumers and businesses find and buy products. The Compute Economy points to the strategic role of computing infrastructure and the logistics involved in data centers. Humanoids are presented as an emerging, longer-term trend that could affect automation in physical settings, including warehouses. Taken together, these developments connect digital activity, purchasing and physical goods movement.

“Until now, AI has helped people perform tasks more efficiently. The next chapter is about action,” said Klaus Dohrmann, Vice President of Innovation and Trend Research, DHL Customer Solutions & Innovation. He described an emerging phase of autonomous and physical AI in which systems can perceive their surroundings, navigate complex environments and make decisions with limited human intervention.

Work changes alongside the technology

The report treats workforce changes as a core part of the technology shift. It highlights wearable sensors, remote operations, collaborative robotics and AI-powered workplace assistants as tools that can support safer and more productive work. By taking on repetitive tasks and helping with everyday decisions, these tools may give employees more room for problem-solving, customer service and operational oversight.

Employee Belonging and the Augmented Workplace are among the Radar’s workforce trends. They reflect a workplace in which people may work alongside AI assistants, robots designed to collaborate with employees and other digital tools. The effects could reach frontline operations, technical jobs and knowledge-based roles. That breadth makes training and employee support operational issues: introducing a tool is only part of the work if staff also need new skills and confidence to use it.

Thomas Ogilvie, DHL Group’s Chief Human Resources Officer and Labour Director, said technology is changing work while people remain central to supply chain performance. He pointed to AI assistants, wearable devices and collaborative robots as tools that can help employees work more safely, reduce repetitive tasks and focus on higher-value work. His assessment frames the challenge as combining human experience with increasingly capable technology.

Katja Busch, DHL’s Chief Commercial Officer and Head of DHL Customer Solutions & Innovation, said AI and workforce trends are increasingly influencing one another. She said organizations that understand the changes early can turn them into practical advantages for their business and employees, and described the Radar as a way to identify developments likely to matter most.

Oversight and sustainability remain in view

Greater autonomy raises questions about how systems are deployed, secured and monitored. The Radar highlights AI Ethics and Cybersecurity 2.0 as trends that address governance, resilience and security. As AI becomes more involved in demand forecasting, inventory planning and transport decisions, companies need safeguards and human oversight that match the importance of those activities. The report’s emphasis is on managing these systems as part of operations, rather than treating the technology as a stand-alone tool.

Sustainability remains a long-term driver in the Radar. Its named trends include Decarbonization, Sustainable Fuels, Circularity, Heavy Vehicle Electrification and Light Vehicle Electrification. The report connects them with electric delivery fleets, alternative fuels and supply chain designs that support reuse and more efficient use of resources. These priorities sit alongside automation: businesses are considering how to move goods and organize work while pursuing lower-carbon operations.

The Radar’s themes point to a practical agenda for logistics leaders: assess where AI can improve planning or execution, prepare employees for changing roles, and build oversight into systems that influence operational decisions. The next phase of adoption will be shaped by how well companies connect those choices across the workforce, technology and physical movement of goods.