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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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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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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AI Hardware Advances From Industrial Robots to Emotional Companions

AI Hardware Advances From Industrial Robots to Emotional Companions

This issue of the AI Application List focuses on the rise of AI hardware, covering both industrial efficiency improvement and emotional companionship. Industrial robots are evolving into "intelligent employees," achieving autonomous operation and efficient scheduling. Emotional companionship robots, through emotional interaction and offline memory, are building new human-machine relationships. AI hardware is transforming from a "tool" to an "intelligent agent," redefining productivity and production relations. This shift highlights the increasing sophistication and integration of AI into physical devices, impacting both work and personal lives.

01/27/2026 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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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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