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.

Experts Analyze Crossborder Logistics Risks and Mitigation Strategies

Experts Analyze Crossborder Logistics Risks and Mitigation Strategies

This article provides an in-depth analysis of the core definitions and operational processes of cross-border logistics. It explores the characteristics and risks associated with different logistics models and emphasizes the importance of mastering key points and cost control in the context of globalization. It suggests that companies utilize comparison platforms and professional consultants to optimize their cross-border transportation strategies.