Global Firms Adopt Crossborder Logistics for Market Expansion

Global Firms Adopt Crossborder Logistics for Market Expansion

This paper systematically outlines the entire process of cross-border logistics, including order confirmation, preparation, transportation, customs clearance, distribution, and after-sales service. It aims to assist businesses and individuals in understanding and optimizing cross-border logistics, enhancing customer experience and operational efficiency, and promoting the successful development of international business.

Logistics Industry Adapts to Challenges Amid Economic Uncertainty

Logistics Industry Adapts to Challenges Amid Economic Uncertainty

The 36th Annual Logistics Report highlights numerous challenges faced by the global logistics industry amid economic and geopolitical uncertainties. The report emphasizes strategies such as optimizing transport networks, technological applications, and green logistics, which help companies effectively cope with rising costs and market fluctuations to achieve sustainable development.

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.