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.

New Energy Logistics Shifts From Vehicle Matching to Station Collaboration

New Energy Logistics Shifts From Vehicle Matching to Station Collaboration

In the era of new energy, logistics vehicle dispatch is undergoing a transformation, shifting from simple vehicle-cargo matching to emphasizing coordination with charging stations. Factors such as charging time, distribution of charging piles, and power affect the efficiency and cost of dispatch. Companies need to reassess their dispatch logic, enhancing the management and utilization of charging facilities.