Alibabas Tongyi Qianwen Joins Chinas AI Model Race

Alibabas Tongyi Qianwen Joins Chinas AI Model Race

Alibaba Cloud's "Tongyi Qianwen" has launched internal testing, signaling intensified competition in China's AI large language model arena. This article delves into the meaning behind the name, its functionalities, and analyzes the underlying technological accumulation and strategic layout. It also explores the profound impact of AI large language models on industry intelligent upgrades and business model innovation, predicting that AI will accelerate its implementation and reshape the industrial landscape. The launch marks a significant step in the development and application of AI in China.

01/05/2026 Logistics Industry Insights
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Google Search Console Bubble Charts Reveal Resilient SEO Keywords

Google Search Console Bubble Charts Reveal Resilient SEO Keywords

Facing the impact of AI on SEO, this article explores how to leverage Google Search Console bubble charts to discover keywords less susceptible to AI erosion. By analyzing bubble chart quadrants, content can be optimized and rankings improved, ensuring stable website traffic growth in the AI era. Using a cross-border logistics navigation website as an example, the article elaborates on specific optimization strategies, helping SEO practitioners break through in the age of AI. This approach aims to maintain and enhance organic visibility despite the evolving landscape.

01/07/2026 Logistics Industry Insights
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Aidriven ERP Transforms Supply Chain Management

Aidriven ERP Transforms Supply Chain Management

This paper delves into how Artificial Intelligence (AI) empowers Enterprise Resource Planning (ERP) systems, reshaping the landscape of supply chain management. It analyzes the roles of AI, machine learning, and generative AI in enhancing decision-making, optimizing user experience, and driving supply chain intelligence. The study also discusses key factors for businesses to consider when selecting an ERP system or best practice solutions. Finally, it explores future trends in intelligent supply chains, highlighting the potential for increased efficiency and resilience through AI-driven optimization.

01/19/2026 Logistics Industry Insights
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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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Manufacturers Adopt GEO Optimization for AI Procurement Edge

Manufacturers Adopt GEO Optimization for AI Procurement Edge

This paper explores how manufacturing enterprises can enhance brand priority in AI recommendations through GEO optimization within the context of AI-driven intelligent procurement. It details two key steps: keyword positioning and ranking improvement. Through case study analysis and expert collaboration suggestions, the paper provides practical guidance for enterprises to seize brand discourse power in the AI era. The focus is on leveraging geographical targeting and relevant keywords to improve visibility and relevance in AI-powered procurement platforms, ultimately boosting brand recognition and market share.

01/23/2026 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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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
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