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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
📢 New Logistics AI Launches: 🚫 Another chatbot that reads your TMS aloud ✅ Still doesn’t understand trade
LOG-NET, Inc. tweet media
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
2/ Me: “Can it predict transit?” Chatbot: “Well actually… your container is on the way 😃” 🙄
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
3/ Reality check: Global trade isn’t a bedtime story. It’s a system of modes, customs, suppliers, regulations, SKUs, and constraints.
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
4/ LLMs: “Here’s a paragraph about your shipment.” LTMs: “Here’s how your shipment ACTUALLY behaves.”
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
5/ LLM = words. LTM = world.
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
6/ MIT’s Dr. Chris Caplice: “Bi-modal transit times are a real issue.” Procedural algorithms: ❌ meltdown Large Trade Model: ✔️ ‘I see everything.’
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
7/ LOG-NET Movement Planning (V9): 👀 Sees suppliers 📦 Understands SKUs 🛃 Predicts customs 🗂 Follows compliance 🚢 Graphs multimodal flows 🤖 Feeds agentic AI for autonomous execution
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
8/ Chatbots narrate your supply chain. LTMs operate it.
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
9/ If your AI strategy is “add a prompt box,” you’re building for 2020, not 2030.
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LOG-NET, Inc.
LOG-NET, Inc.@LOG_NET·
10/ 🔥 A chatbot can read your TMS. A Large Trade Model can understand it.
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