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Weather AI becomes part of dispatch
ECMWF is operating its second generation of AI forecasts. Logistics teams can benefit when their response is prepared too.
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Examples and explanations for people who want to use AI in their operations. Read English translations of past German editions of the vimoki KI-Radar here.
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ECMWF is operating its second generation of AI forecasts. Logistics teams can benefit when their response is prepared too.
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eFTI makes freight information machine-readable. Its practical value depends on how that data supports everyday work.
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General AI becomes useful in practice when it is connected to the work of a specific industry.
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In logistics, useful AI work often starts with the information inside documents.
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The expansion of data centres creates new logistics requirements and greater complexity.
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The AI Act draws attention to the need for traceable AI in operational processes.
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Agents can monitor supply chains. Their value depends on connecting findings to operational decisions.
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Flexport shows how AI skills can grow directly within operational teams.
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Agents can make useful supply-chain decisions, but poor coordination can create instability.
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Robotics, digital twins and real-time data change how people manage warehouse operations.
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An Indian port illustrates how digital twins can speed up operational clarification.
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An example from yard logistics connects agents with operational experience, data and decisions.
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News from China and a request for feedback on how we explain the clarification burden.
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AI signals for logistics, dispatch and organisations: agents, skills and specific bottlenecks.
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