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U.S. TRANSCOM deploys randomised AI to secure military logistics

Deploying randomised AI logistics offers military planners a viable defence against adversarial tracking, allowing U.S. Transportation Command (TRANSCOM) to insulate global distribution networks against contested disruption.  Commercial freight software historically prioritises static scheduling, steady delivery windows, and just-in-time routing to eliminate transit waste. In an operational theatre, however, those fixed cadences expose military transports to

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AutoScheduler launches warehouse app builder for logistics teams

AutoScheduler has launched its warehouse app builder to let logistics teams build custom tools directly from live facility data. The new software module forms part of the company’s wider Warehouse AI Platform, serving distribution centres that balance inventory, machinery, and labour. Distribution centres routinely depend on rigid enterprise resource planning and warehouse management suites. When

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Toyota’s $6.4bn robotics estimate puts physical AI in focus

Toyota Motor estimates that expanding automation across its factories, group companies, and major suppliers could require around 400,000 robots and annual spending of about 1 trillion yen ($6.4 billion) from 2028. The potential investment was discussed with investors earlier in September, according to Reuters. Toyota has not said whether the full investment will proceed or

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Multi-agent AI systems are taking over supply chain execution

Multi-agent AI systems are taking over supply chain execution as enterprise networks face diminishing returns from static dashboards, pushing logistics directors towards autonomous execution. Predictive demand models display recommendations, yet human planners still clear every action. Multi-agent systems replace that approval stage across targeted operational boundaries. Instead of waiting for weekly scheduling runs, independent software

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Gartner outlines four AI tiers in warehouse automation

Gartner reports that warehouse automation now spans four operational AI tiers as logistics operators transition from software trials to live facility deployments. In an analysis released this month, the research firm concludes that logistics infrastructure has reached a clear adoption threshold. Three pressures are driving this change across the sector. Persistent worker deficits make automated

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Lidl deploys driverless truck for store deliveries in Germany

Lidl has started using a cab-less autonomous electric truck for regular store deliveries in Germany, assigning it a daily replenishment route between its Edermünde distribution centre and a nearby store. The truck, supplied by Swedish freight technology company Einride, operates at SAE Level 4 under a permit from Germany’s Federal Motor Transport Authority, or KBA.

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Pony.ai unveils autonomous electric truck for logistics fleets

Pony.ai has unveiled an autonomous electric truck for logistics fleets, developed with GAC Commercial Vehicle for freight supply chains. Unveiled at IAA Transportation 2026, this Level 4 (L4) heavy rig marks the fourth-generation (Gen-4) iteration of Pony.ai’s Robotruck platform. It builds on GAC Commercial Vehicle’s T9 battery-electric truck architecture, with mass production set to start

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Accuracy score results for the post-trained NVIDIA Nemotron 3.5 Lightning AI model.

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

NVIDIA is using Palantir Foundry and cuOpt to automate its hardware supply chain allocation decisions across global manufacturing sites. The company measures operational delivery from wafer-out to first token. This window splits into time-to-rack (the transit from fab output to an assembled data centre system) and time-to-token (which covers power, cooling, networking, and day-one software

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Supply chains detect fast, act slow: How AI agents fix it

Supply chain disruption cost businesses about $184 billion in 2025, according to the J.S. Held Global Risk Report, and most of that bill still buys faster detection, not faster action. That figure is usually treated as weather (i.e. storms happen, costs follow.) Treated as a product specification instead, it highlights an operating model that can

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JD.com expands physical AI in logistics with 3 million robots

JD.com is expanding AI and robotics across its logistics network under a new Physical AI Acceleration Plan, while reiterating a five-year target to procure 3 million robots, 1 million autonomous vehicles, and 100,000 delivery drones. The company launched the plan at JDDiscovery 2026 in Beijing. JD Logistics also unveiled its industrial Wolf Robot series, designed

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