DHL Supply Chain said on November 9 that it is piloting adaptive, AI-powered robotics and moving AI orchestration into live warehouse operations as the next phase of its Accelerated Digitalization strategy. In a Sunnyvale, California, press release, the contract logistics provider said the work sits inside a framework it calls Intelligent Supply Chain, which combines what it terms digital AI, physical AI, operational data, and human expertise.
The company distinguished the new robots from machines that follow only predefined routes or instructions. Adaptive AI-powered robotics, it said, can work toward a goal, interpret changes in their surroundings, and choose alternative actions when conditions differ from the plan. DHL said it is moving this generation of machines from pilots toward live operations after a proof of concept.
AI orchestration, as DHL described it, is a digital control layer that connects data, employees, and automated machinery. After a successful proof of concept, the company said it is deploying that layer in live warehouses to help site leaders respond to demand fluctuations, balance resources, improve operational quality, and support employee retention. One workflow being tested, the release said, connects autonomous mobile robots, packaging automation, and warehouse-management systems so resources can be allocated from real-time order demand.
Those pilots, DHL said, build on a fleet already in place. The company said it has deployed more than 9,000 robots across its global network, completed 10 million robotic case unloads using Boston Dynamics’ Stretch robot, completed more than 1.5 billion robotic picks, and recorded more than 2.5 million minutes of interactions with conversational AI agents. It also said it has deployed advanced analytics and AI solutions more than 1,400 times, including more than 500 deployments in 2026, and that more than 95 percent of its global warehouses now have advanced digitalization solutions.
Tim Tetzlaff, global head of digital transformation at DHL Supply Chain, said the immediate priority is “to continue scaling our proven robotics across more sites while moving the next generation of adaptive AI-powered robotics from pilots into live operations.” He also said, “Digital and physical AI are complementary forces. Digital AI optimizes how information flows, while physical AI optimizes how material flows. When combined with our human workforce, they create the most efficient, flexible and resilient end-to-end supply chain.”
DHL said its objective is not to remove people from operations. As the company aims to increase revenues by 50 percent through 2030, it said it is building a model in which robotics handles physically demanding and repetitive tasks, digital AI processes large volumes of data, and employees contribute judgment in situations that fall outside expected conditions. “The most successful supply chains will not be fully automated,” Tetzlaff said. “They will combine the speed and analytical capabilities of technology with the experience and judgment of people.”
The figures and product claims in the announcement come from DHL. The release does not name the live sites in the orchestration pilot, does not give a timetable for broader rollout, and does not report independent measurements of throughput or retention effects.
What it means for manufacturers
For a midsize manufacturer, the news is less a product you can buy tomorrow than a signal of where large 3PLs are spending. If you outsource warehousing, it is fair to ask a provider which tasks are already automated, which are still in pilot, and how an AI control layer would change exception handling on your account — without treating vendor totals for robots or picks as a performance guarantee. If you run your own warehouse, the nearer step is still usually a clean warehouse-management process, reliable inventory records, and a narrow automation case (for example, repetitive case unloading or peak picking), not a full “adaptive” fleet.
A practical next step is to write down the three warehouse tasks that consume the most labor or create the most errors, and to ask whether each needs better process data, a conventional machine, or a later AI tool. Our guide on warehouse automation and robotics for mid-size manufacturers is a starting point, along with AI inventory management software and AI in supply chain management.
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Additional sources
- The same release says Tetzlaff outlined the framework at a recent Plug and Play Silicon Valley Summit. DHL defines AI-powered adaptive robotics as robots that work toward a specified goal rather than following only predefined routes, and it defines AI orchestration as a digital layer connecting data, AI agents, robotics, people, and other machinery.
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