Innovations In Supply Chain Automation Technology

After 30+ years in supply chain tech and visiting hundreds of warehouses globally, it's rare that something stops me in my tracks. UK startup Dexory just did exactly that. Here's what blew my mind: 🏗️ 39-foot-tall autonomous inventory scanners - literally the tallest robots on Earth 📊 10,000+ pallets scanned per hour with 99.9% accuracy 🧠 AI-powered warehouse optimization that learns and adapts 🌡️ Multi-sensor technology (HD cameras, temperature, humidity) perfect for cold chain 📱 Real-time digital twins creating living, breathing warehouse simulations But here's the REAL game-changer... Unlike most robotics companies that bolt solutions onto existing operations, Dexory thinks deeply about process integration. They're not just building robots - they're reimagining how warehouses think. Their AI doesn't just scan inventory. It predicts optimal storage locations, suggests put-away strategies, and creates digital twins that enable real-time simulations. The bigger picture? This isn't about full warehouse autonomy yet. It's about creating self-aware facilities - the foundation needed before everything becomes truly autonomous. My prediction: When you control the data, you control the flow. Don't be surprised if Dexory expands into real-time warehouse control systems. What's your take? Are we ready for 39-foot robots managing our supply chains? #supplychain #truckl #innovation

🌟 𝐀𝐈 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧𝐬 𝐢𝐧 𝐀𝐜𝐭𝐢𝐨𝐧: 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 🏆 Curious about how AI-driven digital twins are transforming real supply chains? Let's dive into some eye-opening examples that are setting new industry standards: 𝟏. 𝐔𝐧𝐢𝐥𝐞𝐯𝐞𝐫'𝐬 𝐂𝐫𝐲𝐬𝐭𝐚𝐥 𝐁𝐚𝐥𝐥 ✨ Unilever created a digital twin of its global supply network, enabling it to run millions of scenarios in minutes. Result? They've significantly improved their ability to respond to sudden market changes and disruptions. 𝟐. 𝐃𝐇𝐋'𝐬 𝐒𝐦𝐚𝐫𝐭 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 📦 DHL uses AI-powered digital twins to optimize warehouse operations. By simulating different layouts and workflows, they've boosted efficiency by up to 20% in some facilities. 𝟑. 𝐏𝐨𝐫𝐭 𝐨𝐟 𝐑𝐨𝐭𝐭𝐞𝐫𝐝𝐚𝐦'𝐬 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐌𝐚𝐤𝐞𝐨𝐯𝐞𝐫 🚢 The busiest port in Europe uses AI digital twins to optimize ship movements, reduce wait times, and lower emissions. They're reshaping the future of maritime logistics. 𝟒. 𝐒𝐢𝐞𝐦𝐞𝐧𝐬' 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 🏭 Siemens' Amberg Electronics Plant uses a digital twin to simulate production processes, resulting in a 99.9% quality rate and 75% reduction in defects. 𝟓. 𝐀𝐦𝐚𝐳𝐨𝐧'𝐬 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐂𝐫𝐲𝐬𝐭𝐚𝐥 𝐁𝐚𝐥𝐥 🔮 Amazon leverages AI and digital twins to predict inventory needs and optimize fulfillment center operations, contributing to their famous same-day delivery capabilities. 𝟔. 𝐁𝐌𝐖'𝐬 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐁𝐢𝐫𝐭𝐡 🚗 BMW uses AI digital twins in their production process, simulating every step from design to manufacturing. This has cut production planning time by 30%. 𝟕. 𝐌𝐚𝐞𝐫𝐬𝐤'𝐬 𝐖𝐞𝐚𝐭𝐡𝐞𝐫-𝐁𝐞𝐚𝐭𝐢𝐧𝐠 𝐑𝐨𝐮𝐭𝐞𝐬 ⛵ Maersk employs AI digital twins to optimize shipping routes based on real-time weather data, reducing fuel consumption and improving delivery times. 𝐓𝐡𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐭𝐡𝐫𝐞𝐚𝐝? These companies see tangible benefits: reduced costs, improved efficiency, enhanced resilience, and happier customers. 👥 𝐘𝐨𝐮𝐫 𝐭𝐮𝐫𝐧: Have you encountered AI digital twins in your supply chain journey? Share your experience or thoughts below! #SupplyChainInnovation #AIinAction #DigitalTwins #RealWorldAI #SupplyChainTech #IndustryLeaders #DigitalTransformation #SupplyChainSuccess #Tech2024 #FutureOfLogistics

🚀 Shaping the Future of Supply Chains with AI, Computer Vision & Digital Twins Excited to be featured in FreightWaves, where I shared why the intersection of AI computer vision, digital twins, and real-world operations is so transformative. From my experience at A.P. Moller - Maersk to today at Interwoven Ventures, I’ve seen how these technologies can revolutionize supply chain resilience and efficiency: Unloading containers: Deploying smart cameras and AI raised prediction accuracy to ~82%—enabling minute-by-minute insights into workforce throughput and driving new performance incentives. Streamlining drayage: By consolidating data from 13 systems into a digital twin, we unlocked visibility, operational clarity, and multi-million‑dollar savings. What‑if scenario planning: Digital twins allow us to model disruptions—be it tariffs, wars, pandemics—and proactively engineer the resilient supply chains of tomorrow. My core message: “You have to declare what your problems are first, so then you can actually measure them.” Digital twins and AI shouldn’t be deployed for hype—they should be precision tools built to solve defined challenges . As co‑founder and GP at Interwoven Ventures, I’m keen to support #founders and execs driving these real-world solutions. If you’re developing tools that merge data, AI, vision, and operational benchmarks to streamline logistics—let’s connect! 🔗 Read the full article here: https://lnkd.in/grZVx443 Thanks to Noi Mahoney and the team at FreightWaves for the thoughtful coverage. #SupplyChainTech #DigitalTwins #AI