40Seas’ Post

As global supply chains become more fragmented, port congestion has hit critical levels across major hubs worldwide. In this recent article, I discuss how automation and machine learning can play a pivotal role in alleviating bottlenecks and streamlining operations at these ports. https://hubs.la/Q02QBshM0 #40seas #SupplyChain #Automation #AI #MachineLearning #Logistics #SmartPorts #GlobalTrade

How do you gauge the performance of your port? Ports play a pivotal role in facilitating various services for vessels and cargo, with satisfaction levels of shippers serving as a barometer for assessing port performance. From vessel turnaround time to volume handled and speed of cargo, several factors contribute to measuring port productivity. To enhance port performance, it's crucial to deploy innovative equipment and cutting-edge technology, streamlining terminal logistics processes. By optimising resources and ensuring operational flow, ports can elevate their planning and operational capabilities. While port automation presents promising opportunities, it also poses challenges. Careful planning, flexibility in process adaptation, and adherence to industry standards are imperative for successful implementation. Balancing high initial capital expenditure with long-term productivity gains is key to realising the full potential of port automation. What are your thoughts on measuring and enhancing port performance in today's dynamic shipping landscape? Are today's traditional performance measures still relevant in today's world, or is it time tip the bucket upside down, rebuild and see if the outcome is the same, or much better and smarter? Does true integrated Ai driven solutions, contribute to improved visibility and allow a port to predict more accurately, during operations and beyond? Reach out to my team at Trent or get in touch with me today, we’d love to share with you some of things we have going on around the world: https://lnkd.in/gWZGKhb2    #portsandterminals #ai #agility #innovation #performancemanagement

Check out our most recent blog post about the FreightTech revolution to learn how Princeton TMX is pushing innovation forward with AI-driven reporting, fleet and carrier management capabilities, and sustainability reporting! https://lnkd.in/gY2YARjd

DB Schenker launches augmented supply chain monitoring solution Ocean Bridge  DB Schenker launches its supply chain monitoring tool Ocean Bridge to provide customers with highest planning certainty down to vessel, shipment and container level in ocean freight. On an interactive map, Ocean Bridge shows accurate, AI based data around estimated time of departure, berthing and arrival of vessels plus their port rotations on the entire service loop. This complete visibility of maritime operations enables customers to manage their supply chain most efficiently. They are enabled to avoid unplanned transportation costs by proactively adapting to changes and disruptions at any time.    Thorsten Meincke, Member of the Management Board Air & Ocean Freight at DB Schenker: “DB Schenker’s customers are most empowered to make informed decisions and improve operational efficiency thanks to Ocean Bridge. This AI based tool represents a significant advancement in maritime logistics technology and underscores DB Schenker’s commitment to innovation and excellence in the logistics industry for the sake of our customers.”    Eva Grieser, Director Data Management & Architecture, Ocean Freight at DB Schenker: “Ocean Bridge is pairing dynamically augmented event chain data with artificial intelligence. Our customers can take preventive action before challenges occur and thus avoid costs.”    At a single glance, the interactive map visualizes container information and offers a comprehensive overview. Utilizing telematic data and dynamic algorithms which include AIS (Automatic Identification System) positions and augmented port rotation details, providing fully predictive schedules of increased reliability. Users are presented with detailed vessel status and live location updates, as well as access to predicted service loops and port rotations as soon as the shipment is on the water. With full visibility on estimated time of arrival as well as berth predictions, users can plan more effectively and are enabled to take preventive actions in the event a disruption is forecasted and outlined. Added costs of delay potentially are minimized effectively managing the threat of disruptions during transit. Also, customers can significantly avoid unnecessary demurrage and detention costs by managing delays. In times of increasingly occurring global disruptions, the tool for instance identifies delays and gives the possibility to continuously recalculate routes, supporting timely decision-making.    Customers can now get access to Ocean Bridge via their personal sales representant, said a release.   Source: New Delhi, Oct. 17 Join our community and never miss out on crucial Exim news! 📈 https://lnkd.in/eYj-V5hv Disclaimer: Please note that our content is based on internet-sourced information. Please verify before process.  #EximNews #TradeUpdates #ExportImport #GlobalTrade #SupplyChain #MarketInsights #TradeCompliance #Logistics #InternationalTrade

Despite advances in technology, there are still gaps leading to delays and uncertainty 🚨 To address this challenge, DB Schenker has developed a groundbreaking solution: Hub Inbound Prediction (HIP). ✅ HIP is an AI-powered system that leverages advanced data analytics to accurately forecast the arrival time of shipments. By combining real-time flight data, ground handling information, and historical trends, it provides logistics managers with a clear picture of when to expect incoming cargo. To understand HIP, it's essential to grasp the key events it predicts: ➡️ ARR (Arrival): this is the time when a flight touches down. Information about ARR is readily available and widely used to monitor the status of shipments. ➡️ NFD (Notified): this event occurs when ground handling teams notify DB Schenker that the cargo is ready for pickup and further processing. Unlike ARR, NFD information is not easily predicted or tracked, creating a blind spot in the logistics process. 🌐 HIP’s primary function is to predict when the NFD event will happen, based on the ARR time and other factors. This prediction helps logistics managers plan better and allocate resources, ultimately improving efficiency. DB Schenker is not just keeping up with the times — we're leading the charge, making air freight operations more "HIP," one prediction at a time! Read more about this innovation 👇 #DBSchenker #AI #logistics #innovation

Load Building and Optimization with Tom Moore #ProvisionAi https://hubs.la/Q02j34cP0

Steps and missteps in automating container terminals https://lnkd.in/gtH3XRc7

Rising costs are putting the squeeze on European logistics, but there's a solution: dynamic route optimisation 🧠 This tech uses real-time data to calculate the most efficient routes, adapting to traffic, weather, and other factors on the fly 🛣️ In our latest article, Tom Finill, Principal Engineer at Ontruck AI Tech, explores how it works and the different approaches and technologies, so you can understand which methods are most applicable to your operation. Check it out, it’s just a 5-minute read! 👇

Load Building and Optimization with Tom Moore #ProvisionAi https://hubs.la/Q02j3ddl0

Despite advances in technology, there are still gaps leading to delays and uncertainty 🚨 To address this challenge, DB Schenker has developed a groundbreaking solution: Hub Inbound Prediction (HIP). ✅ HIP is an AI-powered system that leverages advanced data analytics to accurately forecast the arrival time of shipments. By combining real-time flight data, ground handling information, and historical trends, it provides logistics managers with a clear picture of when to expect incoming cargo. To understand HIP, it's essential to grasp the key events it predicts: ➡️ ARR (Arrival): this is the time when a flight touches down. Information about ARR is readily available and widely used to monitor the status of shipments. ➡️ NFD (Notified): this event occurs when ground handling teams notify DB Schenker that the cargo is ready for pickup and further processing. Unlike ARR, NFD information is not easily predicted or tracked, creating a blind spot in the logistics process. 🌐 HIP’s primary function is to predict when the NFD event will happen, based on the ARR time and other factors. This prediction helps logistics managers plan better and allocate resources, ultimately improving efficiency. DB Schenker is not just keeping up with the times — we're leading the charge, making air freight operations more "HIP," one prediction at a time! Read more about this innovation 👇 #DBSchenker #AI #logistics #innovation