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AutoScheduler launches warehouse app builder for logistics teams

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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

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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

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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

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

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

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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

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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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CloudNC aims to accelerate AI supply chain machining

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CloudNC has secured $20 million in new capital to scale its AI precision machining technology across global supply chain networks. The investment round was led by US venture investor Nimble Ventures, with participation from Calculus Venture Capital, Entrepreneur First, and LM Ventures, the venture capital fund of Lockheed Martin. Founded in 2015, CloudNC operates from

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Samsung taps Mistral AI models for semiconductor manufacturing

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Samsung has partnered with Mistral AI to deploy on-premises models across its semiconductor manufacturing and engineering operations. The agreement was announced during the bilateral state summit held in Paris between South Korea and France. Samsung will integrate Mistral’s software suite – including its flagship Mistral Large model – into internal semiconductor facilities to build customised

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The robotics capability framework for physical AI by Arm.

Arm launches Total Design for Physical AI and robotics framework

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Arm has launched Arm Total Design for Physical AI alongside a new robotics framework to establish common standards across automated systems. Physical industries – spanning mining, agriculture, manufacturing, and global transport – account for trillions of dollars in economic activity and an estimated $200 billion annual compute opportunity by the 2030s. To address engineering fragmentation

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OneRail uses Nvidia AI for real-time last-mile delivery optimisation

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OneRail has launched an AI-powered delivery platform that uses Nvidia technology to help retailers, wholesalers, and distributors decide how individual orders should be delivered. Called OmniSTAR, the system evaluates options including owned fleets, couriers, parcel carriers, and other delivery modes, then selects the lowest-cost option that meets the required service level, according to OneRail. The

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