The rapid development of global e-commerce has made online services crucial for businesses. Consumer expectations for a unified and convenient shopping experience are rising, prompting the logistics industry to actively adopt new technologies. The application of smart warehousing, real-time tracking, and artificial intelligence analytics has improved logistics efficiency and transparency, meeting the growing market demand.
Digital transformation is becoming increasingly important in supply chain management for the FMCG sector. Companies need to define clear transformation goals and leverage new technologies like artificial intelligence to enhance flexibility and competitiveness. Successful transformation relies not only on investment but also on strengthening digital capabilities and prioritizing supply chain visibility to enable quicker decision-making and responsiveness.
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 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 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.
