AI Reshapes Supply Chain Management Prospects and Hurdles

AI Reshapes Supply Chain Management Prospects and Hurdles

This paper explores the opportunities and challenges of artificial intelligence in supply chain management, emphasizing AI's potential in optimizing demand forecasting, inventory management, and risk identification. It also highlights issues such as data quality, cost, and complexity that impact its application. Successful implementation of AI requires the optimization of internal processes and the enhancement of personnel skills within the organization.

Innovative Trends in Logistics in the Digital Age

Innovative Trends in Logistics in the Digital Age

With the rapid growth of e-commerce, consumer demands for shopping experiences are increasing. In response, the logistics industry is enhancing operational efficiency and customer satisfaction through digital innovations such as drones, autonomous vehicles, big data, artificial intelligence, and blockchain, aiming to build a more efficient supply chain management system.

Improved Export Standards for Agricultural Products in Zhenhai A Key Role for New Customs Service Model

Improved Export Standards for Agricultural Products in Zhenhai A Key Role for New Customs Service Model

Zhenhai's agricultural product exports have seen significant growth supported by efficient customs services. By establishing liaisons and offering one-on-one guidance, customs helped companies enhance management and ensure product quality. Additionally, timely information support has provided businesses with the means to navigate international trade regulations, boosting export performance.

07/23/2025 Logistics
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