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
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Chinese Tech Firms Expand Globally Amid AI Boom

Chinese Tech Firms Expand Globally Amid AI Boom

Chinese tech companies are accelerating their AI expansion overseas, transitioning from technology infrastructure to innovative AI applications. Hong Kong FinTech Week serves as a bellwether, with companies like Ant Group showcasing full-stack AI solutions. Leveraging domestic market experience and localization strategies, these companies are exporting comprehensive solutions. China's technology globalization is entering a 3.0 era, centered around AI super-applications, contributing to the development of the global technology industry. This shift signifies a more mature and impactful phase of Chinese technological influence on the international stage.

01/27/2026 Logistics Industry Insights
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China Narrows AI Gap with US Deepmind CEO Warns

China Narrows AI Gap with US Deepmind CEO Warns

Google DeepMind CEO Demis Hassabis suggests the gap between Chinese AI models and the most advanced US/Western levels may be just months away. China's AI technology is rapidly progressing, with large models from companies like DeepSeek gaining attention. Nvidia CEO Jensen Huang also believes the US and China are largely on par in AI infrastructure and models. The AI race is intensifying, indicating a shrinking technological divide and increased competition in the field. The speed of development in China is a key factor driving this shift.

01/28/2026 Logistics Industry Insights
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Aidriven GEO Transforms Ecommerce SEO Strategies

Aidriven GEO Transforms Ecommerce SEO Strategies

The rise of AI search is transforming traffic acquisition for cross-border e-commerce websites. GEO (Generative Engine Optimization) emerges, not to replace SEO, but to upgrade it, emphasizing brand credibility and recommendation value within AI. Cross-border sellers should seize opportunities in AI recommendation pools, trust assets, and content compounding to reduce platform dependence and embrace the GEO era. This involves focusing on building authority and creating content that AI algorithms favor for recommendations, ultimately driving organic traffic and reducing reliance on traditional SEO tactics.

02/02/2026 Logistics Industry Insights
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AI Tool Drives Swiss CNC Business Inquiries in One Week

AI Tool Drives Swiss CNC Business Inquiries in One Week

A CNC industry independent website received a Swiss inquiry within one week of launch, validating the efficiency and conversion capabilities of AI website builders. The site utilized AI-generated content with manual optimization, achieving rapid website creation and initial SEO and social media traffic. This successful case demonstrates the significant potential of AI website builders in the cross-border e-commerce field. It highlights how AI can streamline the process of creating and optimizing websites for international markets, leading to quicker results and increased opportunities for businesses.

02/03/2026 Logistics Industry Insights
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AI Models Boost Efficiency Cut Costs in Logistics

AI Models Boost Efficiency Cut Costs in Logistics

This paper delves into the current applications and future trends of AI Large Language Models in the logistics industry. By analyzing practical cases from companies like Cainiao, JD.com, SF Express, and COSCO SHIPPING, it reveals the significant potential of AI Large Language Models in enhancing efficiency and reducing costs. The article also identifies the challenges faced in implementing AI Large Language Models and proposes corresponding solutions, providing valuable insights for logistics companies embracing AI technology. It highlights the transformative impact and offers a roadmap for successful integration.

02/03/2026 Logistics Industry Insights
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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
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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
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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
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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
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