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.

02/03/2026 Logistics Industry Insights
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Jijia ERP Enhances Crossborder Ecommerce Efficiency by 300

Jijia ERP Enhances Crossborder Ecommerce Efficiency by 300

Jijia ERP's Fulfillment by Merchant (FBM) feature helps cross-border e-commerce sellers improve order processing efficiency by 300%. Through automated processes and solutions for exception scenarios, it frees up operations personnel's time, allowing them to focus on business expansion and refined operations. This is especially advantageous during peak traffic periods, making it an ideal choice for multi-platform operations. Jijia ERP empowers sellers to streamline their FBM processes and significantly boost productivity.

01/16/2026 Logistics
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Airport CDM Boosts Efficiency and Ontime Performance

Airport CDM Boosts Efficiency and Ontime Performance

A-CDM optimizes airport operations through information sharing and collaborative decision-making, enhancing efficiency and on-time performance. The upgraded version of A-CDM, incorporating Trajectory-Based Operations (TBO) and streamlined services, demonstrates significant benefits. This approach fosters better coordination among stakeholders, leading to reduced delays and improved resource utilization. The implementation of A-CDM is crucial for modern airports aiming to enhance operational effectiveness and passenger satisfaction by minimizing disruptions and maximizing throughput.

01/27/2026 Logistics Industry Insights
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