This article explores the future of logistics and supply chain technology, focusing on the applications of artificial intelligence and automation in Transportation Management Systems (TMS) and how they drive improvements in business efficiency and effectiveness. Experts share insights on current industry challenges and strategies to address them, emphasizing how companies can leverage technology for transformation and innovation.
The digital transformation of shipping has become a new trend in industry development. Although progress is slow, various emerging technologies, such as artificial intelligence and the Internet of Things, are gradually being integrated into the shipping sector. Despite facing challenges related to regulations, training, and more, this transformation presents opportunities for increased efficiency and reduced costs in shipping.
This article explores the increasingly important role of smart supply chains in modern business operations. It analyzes how supply chain management software uses automation and artificial intelligence to optimize various stages of the supply chain and enhance operational efficiency. Through data, it discusses trends and investment drivers for different companies in adopting efficient warehousing and transportation management systems.
This article explores the evolution of smart warehouses through four stages: blind, reactive, automated, and adaptive. It discusses the impact of robotics and artificial intelligence on warehouse management, with a particular emphasis on the strategic investments in automation by Amazon and Walmart. Looking forward, AI agents are expected to play a significant role in real-time decision-making.
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.
OAG's monthly air travel data intelligence helps you understand global and US aviation market trends, key timing opportunities, passenger sentiment, and an overview of the Middle East aviation market. Through refined data, it helps you develop precise strategies, optimize operations, expand your market, and enhance your competitive advantage. Gain a decisive edge in the market with data-driven insights.
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.
While US imports have recently increased, S&P Global Market Intelligence reports that tariff risks may lead to a future decline. Consumer goods imports are driving the growth, potentially due to companies stockpiling in anticipation of tariffs. To navigate this uncertainty, businesses should consider accelerating shipments, diversifying their sourcing, and adopting flexible strategies to adapt to changing trade conditions.
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 analyzes the significant transformations in warehouse automation over the past decade, including the deep integration of intelligence and automation, strategic shifts in companies, and how mergers and acquisitions are reshaping the industry landscape. In the future, an open software ecosystem will become central to corporate competition, with successful companies prioritizing the enhancement of operational quality and meeting customer demands.
