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.

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.

Uber Freight Adopts AI to Transform Logistics Industry

Uber Freight Adopts AI to Transform Logistics Industry

Uber Freight has launched an AI-driven logistics management system that utilizes nearly $20 billion in freight data to enhance decision-making and transportation efficiency, transcending traditional task automation. This system improves customer experience and supply chain transparency through real-time data processing and intelligent analytics, marking a significant digital transformation in freight management.

08/06/2025 Logistics
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