This article examines countries that rose to power by controlling trade systems throughout history, analyzing the impact of the integration of artificial intelligence and logistics technology on the global logistics framework. Future logistics leaders will play crucial roles on the international political stage, and the competition for dominance over logistics systems will be central to geopolitics.
SellerSprite.com, developed by Yun Ya Technology, is an Amazon product selection and operation software powered by big data and artificial intelligence, empowering global sellers. As of September 2025, it has surpassed 1.6 million users and received over 30 industry awards. Its features cover product selection, keyword selection, and operational promotion, helping Amazon sellers achieve refined operations.
Key Google SEO updates for July 2025: spotlighting the Asia-Pacific conference, AI upgrades, and Search Console updates. This provides a guide to navigating the AI search era, offering strategies for success and adaptation. Stay ahead of the curve with insights into the evolving landscape of search engine optimization and content strategies powered by artificial intelligence.
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.
This article explores the challenges and opportunities faced by the international freight forwarding industry during its digital transformation. Emerging technologies such as blockchain, artificial intelligence, and the Internet of Things are reshaping traditional freight forwarding models, driving a shift from manual operations to data-driven processes. Additionally, the restructuring of conventional operational models imposes new demands and pressures on businesses.
Yangquan oversized logistics significantly improves tracking efficiency through information technology construction, intelligent algorithm optimization, and the widespread use of mobile internet applications. Users can easily track logistics information through apps, official websites, and other channels. In the future, technologies such as the Internet of Things and Artificial Intelligence will further promote the development of Yangquan logistics, providing more efficient and transparent services.
This paper compares ERNIE Bot and ChatGPT 3.5 across multiple tasks, covering areas like language understanding, logical reasoning, mathematical calculation, and text creation. The results indicate that ChatGPT 3.5 generally outperforms ERNIE Bot. However, ERNIE Bot demonstrates potential in understanding Chinese context and traditional culture. Domestic AI needs continuous improvement to achieve greater breakthroughs in the field of artificial intelligence.
The DATE model, developed by the WCO's BACUDA project, employs artificial intelligence to provide customs authorities with a precise tool for identifying fraud risks. Utilizing a dual attention mechanism and tree-aware embedding technology, the model effectively identifies potential fraudulent activities such as under-invoicing, enhancing risk identification accuracy and reducing labor costs. It has been successfully piloted in a Nigerian customs project.
This paper proposes a low-cost approach to building a self-built BI system for integrating Facebook and Google advertising data. By leveraging Deferred Deeplink and S2S integration technologies, advertising campaign information is obtained and combined with a self-built BI system for data analysis, enabling ad performance tracking and optimization. The paper also discusses data attribution and duplicate installations, proposing corresponding solutions to address these challenges. This approach offers a cost-effective way to gain insights from advertising data and improve campaign effectiveness.
The World Customs Organization's INAMA Project held an advanced intelligence training in Zambia, aiming to enhance the intelligence analysis capabilities of customs administrations in Sub-Saharan Africa. This initiative seeks to more effectively combat illicit trade, protect wildlife, and promote sustainable development. The training covered the role of intelligence in law enforcement planning, core analytical techniques, and post-operation analysis. The project is funded by the U.S. Department of State and supported by various stakeholders, contributing to improved regional security and economic stability.
