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.

US Tariff Hikes Strain Logistics Sector Amid Economic Uncertainty

US Tariff Hikes Strain Logistics Sector Amid Economic Uncertainty

The White House has postponed the reciprocity tariffs originally set to take effect on July 9 to August 1, increasing uncertainty in the logistics industry. Experts indicate that the new tariff scope may impact consumer prices and urge attention to future economic dynamics. Analysis from S&P Global shows a decline in overall U.S. import tariffs, which is expected to exert a dampening effect on inflation.

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.