LOG-NET, Inc. @LOG_NET
World's first agentic AI first global End-to-End supply chain planning, execution, order management, global trade and transportation management platform. log-net.com Tinton Falls, NJ Joined May 2009-
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Check out my latest article: Ontology Binding Isn't New. We Call It the Large Trade Model. linkedin.com/pulse/ontology… via @LinkedIn
Check out my latest article: "Touché": What Happened When I Cross-Examined an LLM About My Own Company linkedin.com/pulse/touch%25… via @LinkedIn
Check out my latest article: How to manage an AI deployment in a way a child could understand linkedin.com/pulse/how-mana… via @LinkedIn
Check out my latest article: How to manage an AI deployment in a way a child could understand linkedin.com/pulse/how-mana… via @LinkedIn
🏆 LOG-NET presents the 22nd Annual E-Commerce Excellence Award to EVERGREEN LINE at #TPM26 in LA! To make our Top 5 this year, carriers had to achieve an incredible 98%+ in data integration accuracy. 🥇 Evergreen 🥈 @cmacgm 🥉 @Maersk 4️⃣ @OceanNetworkExp 5️⃣ @OOCL Congratulations to these partners for setting the standard in digital ocean transportation! And thank you to @SPGlobal and @JOC_Updates for a great event. 🚢 #SupplyChain #Logistics
Buy anywhere, deliver anywhere was complex. Now anyone can have the operational expertise of a logistics guru. LOG-NET planning and execution modules act as planing engines that manage order, invoices, packing list, customs filings, trucking, optimal, loading, on time in full. It watches the performance of every factory, port, terminal, train, truck, chassis, customs exam, labeling, shipping, clearance, payments watching, avoiding and executing 24x7 anywhere in the world. Our movement planning constantly optimize annual, 10 week , 2 week and active physical movements. It works with our large trade model to constantly optimize - the flow of you goods to maximize throughput, - while minimizing inventory held in storage and transit - at the lowest possible cost, - at the desired customer delivery. @LOG_NET #WeRiseTogether #ArtificialIntelligence #LargeTradeModel #SupplyChain #FreightTech #LOGNET #AIinLogistics #Imports #Shipping
We really hope the people of Venezuela benefit from the actions over the weekend. We wish only the best for customers impacted. Constraints on trade, travel, food, electricity, medicine have been an unfortunate way of life for too many. The real challenge will be PDVSA. We hope the Venezuelan people can be assisted to have a truly transparent view and vetting process for the transactions that are created for, or replace, PDVSA and its far reaching influence. At LOG-NET we have a guiding principle of our AI development, "We rise together." This principle is a fundamental value that the transparency and detail scrutiny and optimization that AI is capable of should benefit all parties. It should disintermediate and explain the economics and logic behind every transaction. Global supply chains have many points of exploitation. This morning we pray for stability and the rigor of bringing this accountability for the Venezuelan people and we don't simple see a change to the sign over the door. #WeRiseTogether #LOGNET #SupplyChainAI #VenezuelaSupplyChain #PDVSA
Check out my latest article: Terminator vs. Iron Man: The Tale of Two AIs in Logistics linkedin.com/pulse/terminat… via @LinkedIn
Check out LOG-NET CEO's latest article: The Era of "Optional Compliance" is Over. Is Your Supply Chain Ready for the Era of Federal Detention? linkedin.com/pulse/era-opti… via @LinkedIn
4 billion people and countless factories, warehouses, and yards have no usable street address. There is an easy solution that even works for @elonmusk on Mars. And you don't need AI. No address shows up all the time in supplier, terminal and event information as a black hole in Supply Chain Systems. LOG-NET engineers just solved this for free. We're ready to bring massive industrial autonomous supply chains to anywhere, even with @SpaceX on a journey to Mars. Check out Plus Codes and the Large Trade Model, @LOG_NET . #SpaceX #PlusCodes #LOG_NET #LargeTradeModel #MarsSupplyChain #elonmusk #WhereIsMyStuff linkedin.com/pulse/how-log-…
10/ 🔥 A chatbot can read your TMS. A Large Trade Model can understand it.
📢 New Logistics AI Launches: 🚫 Another chatbot that reads your TMS aloud ✅ Still doesn’t understand trade
9/ If your AI strategy is “add a prompt box,” you’re building for 2020, not 2030.
8/ Chatbots narrate your supply chain. LTMs operate it.
7/ LOG-NET Movement Planning (V9): 👀 Sees suppliers 📦 Understands SKUs 🛃 Predicts customs 🗂 Follows compliance 🚢 Graphs multimodal flows 🤖 Feeds agentic AI for autonomous execution
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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