Amsterdam Tests Autonomous Boats for Urban Water Transport

Amsterdam Tests Autonomous Boats for Urban Water Transport

The Amsterdam 'Roboat' project aims to develop autonomous watercraft for urban logistics, public transport, and infrastructure construction. Led by the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) and supported by various research institutions, the project introduces automation to transform urban waterway transportation, improve efficiency, and unlock new opportunities for urban development. The Roboat initiative envisions a future where autonomous vessels contribute to a more sustainable and efficient urban environment by optimizing the use of waterways.

01/28/2026 Logistics
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Digital Freight Platforms Boost Global Trade Efficiency

Digital Freight Platforms Boost Global Trade Efficiency

Network freight platforms integrate freight and vehicle resources, optimize transportation routes, and reduce logistics costs, significantly improving logistics efficiency, especially for cross-border e-commerce. These platforms leverage big data and cloud computing to simplify international transportation and customs clearance processes, helping businesses expand into overseas markets and enhance customer experience. They are reshaping the logistics ecosystem by streamlining operations and providing greater visibility throughout the supply chain, ultimately leading to faster and more cost-effective delivery solutions for businesses involved in international trade.

Preferred Freezer Leads in Automated Cold Chain Logistics Innovation

Preferred Freezer Leads in Automated Cold Chain Logistics Innovation

Preferred Freezer Services (PFS)'s automated cold storage system achieves high throughput, reduced labor costs, and energy efficiency through optimized unloading processes, an automated double-deep storage system, and precise picking strategies. This system, integrating efficiency, energy conservation, and safety, represents the future direction of cold chain logistics and provides valuable insights for the industry. It streamlines operations, minimizes human intervention, and ensures optimal temperature control, ultimately contributing to a more sustainable and cost-effective cold chain.

01/27/2026 Warehousing
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Enhancing Passenger Travel Experience Urumqi International Airport's Intelligent Upgrade

Enhancing Passenger Travel Experience Urumqi International Airport's Intelligent Upgrade

Urumqi International Airport is enhancing the travel experience for passengers through the upgrade of intelligent facilities. The newly added automatic verification channels will significantly improve security check efficiency, allowing travelers to simply place their boarding passes into the channel, where the system will automatically read the information, speeding up the process. Over the past year, the airport has introduced new devices and service robots to further shorten security check times. The implementation of automatic verification channels will make travel more convenient and secure for passengers.

Huawei DHL Partner on Iotdriven Supply Chain Upgrade

Huawei DHL Partner on Iotdriven Supply Chain Upgrade

Deutsche Post DHL Group and Huawei Technologies Co., Ltd. have partnered to launch a large-scale IoT project aimed at enhancing the security and efficiency of global supply chains through IoT technology. The project will leverage Huawei's IoT devices, connectivity technologies, and network infrastructure to optimize freight, warehousing, and last-mile delivery services. This enables real-time tracking, refined management, and intelligent optimization, ultimately reducing costs, improving efficiency, and providing customers with higher-quality services.

01/29/2026 Logistics
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AI Models Boost Efficiency Cut Costs in Logistics

AI Models Boost Efficiency Cut Costs in Logistics

This paper delves into the current applications and future trends of AI Large Language Models in the logistics industry. By analyzing practical cases from companies like Cainiao, JD.com, SF Express, and COSCO SHIPPING, it reveals the significant potential of AI Large Language Models in enhancing efficiency and reducing costs. The article also identifies the challenges faced in implementing AI Large Language Models and proposes corresponding solutions, providing valuable insights for logistics companies embracing AI technology. It highlights the transformative impact and offers a roadmap for successful integration.