Logistics Revolution in the Age of Intelligence JD Logistics X Warehouse Brain Leads Intelligent Storage New Trend

Logistics Revolution in the Age of Intelligence JD Logistics X Warehouse Brain Leads Intelligent Storage New Trend

JD Logistics' "X Warehouse Brain" utilizes intelligent technology to significantly enhance the operational efficiency and cost-effectiveness of unmanned warehouses. It achieves functions such as order scheduling and sales forecasting, driving the digitalization and intelligence of warehouse management and providing new directions for innovative development in the logistics industry.

07/23/2025 Logistics
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Amazon FBA Guide Simplifies Warehouse and Inventory Management

Amazon FBA Guide Simplifies Warehouse and Inventory Management

This article provides a detailed guide to the US Air Freight FBA inbound appointment process and key considerations. It covers steps such as creating a shipment plan, obtaining a shipment ID, contacting logistics providers, and scheduling appointments with trucking companies. Practical guidance is offered regarding product preparation, label printing, and packaging requirements. The aim is to help Amazon sellers efficiently manage inventory, avoid inbound delays, and achieve sales growth by streamlining the FBA process. This guide focuses on optimizing the air freight approach to FBA fulfillment.

11/03/2025 Logistics
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China Tests Metrobased Express Delivery to Boost Logistics

China Tests Metrobased Express Delivery to Boost Logistics

Several cities are piloting "subway delivery" to boost logistics efficiency and shorten transit times, utilizing innovative models like "air-rail combined transport" and unmanned technologies. However, scaling up faces challenges including safety standards, infrastructure support, and cost control. Continuous exploration and improvement are necessary for its broader implementation.

AI in Logistics Falls Short of Industry Expectations

AI in Logistics Falls Short of Industry Expectations

This article explores the current application of artificial intelligence in the logistics industry and the challenges it faces. While AI promises to achieve more efficient supply chain connections, actual applications remain largely localized, making overall transformation a daunting task. Logistics companies must focus on infrastructure development and collaboration with partners while actively pursuing AI, especially considering varying levels of digital maturity and real-world constraints.

AI in Logistics Current Progress and Future Hurdles

AI in Logistics Current Progress and Future Hurdles

The logistics industry has experienced a gap between expectations and reality in the application of AI. While AI has been implemented in specific areas, overall operational transformation still faces numerous challenges. Variations in digitalization levels and real-world constraints make it difficult for companies to fully integrate AI. Establishing foundational work is crucial to achieving the vision for AI.