Agentic AI Boosts Efficiency in Retail and Logistics

Agentic AI Boosts Efficiency in Retail and Logistics

This seminar focuses on how Agentic AI can empower retail and logistics businesses to optimize inventory management, improve workforce efficiency, reduce operational costs, and enhance customer satisfaction. Industry leaders will share practical experiences and delve into the value and application prospects of Agentic AI. The discussion will cover real-world examples and explore how AI agents can automate tasks, predict demand, and streamline operations, ultimately leading to a more agile and responsive supply chain. Attendees will gain valuable insights into leveraging Agentic AI for a competitive edge.

01/21/2026 Logistics Industry Insights
Read More
Cainiao Showcases AI Logistics Tech on Global Stage

Cainiao Showcases AI Logistics Tech on Global Stage

Cainiao Network recently announced its high-performance reinforcement learning planner for autonomous driving, which received recognition at an international academic conference and demonstrated superior performance in complex environments. Additionally, a collaboration with Nanyang Technological University on an end-to-end autonomous driving system achieved first place in a global simulation platform, advancing innovation and commercialization in logistics technology.

08/07/2025 Logistics
Read More
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.

08/07/2025 Logistics Industry Insights
Read More
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.

08/07/2025 Logistics Industry Insights
Read More
AI Shifts Warehouse Safety From Reaction to Prevention

AI Shifts Warehouse Safety From Reaction to Prevention

This paper discusses the current status and issues of warehouse safety management, highlighting the passivity of traditional models. It suggests that AI-driven predictive safety analysis can achieve proactive prevention, providing a safer environment for warehousing and facilitating the transformation of corporate culture.

08/07/2025 Warehousing
Read More
AI and Data Drive Digital Transformation in Aviation

AI and Data Drive Digital Transformation in Aviation

This report explores the significance of high-quality data and artificial intelligence technologies in aviation operations, highlighting their crucial role in addressing global uncertainties. Through case studies, it reveals how data-driven decision-making and technological investments enhance operational efficiency and customer experience for airlines, providing guidance for the future digital transformation of the aviation industry.

08/07/2025 Logistics Industry Insights
Read More