This webinar aims to equip investors with trading strategies based on macroeconomic trends and effective risk management techniques. The content covers macro trend identification, trading strategy construction, risk management methodologies, and case studies, helping you achieve steady profits amidst market volatility. The webinar lasts approximately 25 minutes and is not to be missed.
Intel successfully transitioned its inventory management from relying on 'rules of thumb' to a data-driven approach by introducing a 'multi-echelon inventory optimization' algorithm model. This significantly reduced inventory investment and improved demand fulfillment rates. The model automates inventory target calculations, freeing up planners to focus on more complex issues. Intel's practice provides valuable insights for other companies, demonstrating the immense potential of algorithms in optimizing inventory management. This shift led to more efficient resource allocation and improved overall supply chain performance.
This article provides a clear and concise introduction to the role and advantages of EDI (Electronic Data Interchange) in supply chain management. EDI enhances supply chain efficiency, reduces costs, and improves accuracy through automated data exchange. The article details EDI's working principles, common standards, connection methods, and application examples, offering practical guidance for enterprises to optimize their supply chain management. It explores how EDI facilitates digital transformation within the supply chain, enabling seamless communication and data integration between trading partners.
Facing rising freight costs, businesses urgently need refined management. This article delves into emerging trends in the freight payment industry, emphasizing the use of data analytics, scenario planning, and effective communication to help companies manage freight volatility, optimize transportation mode selection, and ultimately achieve cost reduction and efficiency gains. Through case studies, it demonstrates how data-driven freight management can deliver significant cost savings for businesses.
Digital supply networks are transforming supply chain management by enhancing decision-making efficiency and operational flexibility through real-time data and artificial intelligence technologies. Connected networks enable collaboration among participants, optimizing inventory management, reducing costs, and addressing rapidly changing market challenges.
The 2025 "Dock and Yard Management Status Report" reveals how the industry overcomes management challenges to enhance efficiency and productivity. The report highlights that real-time data and automation can significantly reduce delays, providing practical recommendations to support business growth.
With the support of the World Customs Organization, Zimbabwe and Zambia are advancing customs data interconnectivity to facilitate cross-border trade. By standardizing data, establishing data exchange protocols, and creating a change management framework, the two countries aim to reduce clearance times, lower trade costs, and enhance risk management capabilities. This initiative serves as a model for customs cooperation in other African nations, promoting regional economic integration. The project emphasizes streamlined processes and improved efficiency, ultimately contributing to a more competitive and integrated trading environment.
This article provides an in-depth review of Captain BI for Amazon sellers, analyzing its four core products (Compass, Advertising, Data Ark, and ERP) and value-added services. It reveals its advantages in data analysis, advertising optimization, and supply chain management. Furthermore, the article details Captain BI's pricing strategy, offering guidance for cross-border e-commerce sellers to choose the most suitable plan. It helps sellers understand how Captain BI can improve their Amazon business performance through data-driven insights and efficient management tools.
Modern Warehouse Management Systems (WMS) are becoming essential core tools in the e-commerce supply chain. By utilizing real-time data management and intelligent technology, these systems help businesses improve operational efficiency, meet customer demands, and drive rapid development in the e-commerce environment.
Global enterprises are accelerating the adoption of logistics technology to achieve higher levels of automation and intelligent decision-making. The key to success lies in building a solid data foundation, selectively investing in technologies, and developing a phased implementation roadmap, starting with data analytics and automation, ultimately leading to predictive and fully autonomous logistics capabilities. Companies need to pay attention to risks such as data security and talent shortages.
