GFC Warehouse serves as a global fulfillment center, providing one-stop logistics solutions for cross-border e-commerce. With a global warehousing network, optimized customs clearance processes, and real-time logistics information, it significantly enhances delivery efficiency, reduces operational costs, and improves customer satisfaction. This approach represents a key development direction for modern cross-border e-commerce.
This article provides a detailed interpretation of the requirements and processes for opening a personal, individual, or enterprise TikTok Shop. It compares the differences between the standard TikTok e-commerce platform and TikTok Lite e-commerce, offering recommendations for different types of merchants. The aim is to help businesses efficiently onboard onto the TikTok Shop platform.
This week's Southeast Asia cross-border e-commerce overview focuses on logistics adjustments, payment innovations, last-mile delivery, platform policies, international trade, platform rules, marketing channels, tariff policies, market size, and warehousing logistics. It provides sellers with operational strategies and market insights to help them seize opportunities and address challenges in the dynamic Southeast Asian e-commerce landscape.
TikTok e-commerce is reportedly launching a "fully managed" model, where merchants only supply goods and the platform handles operations. This aims to shorten the sales process and improve efficiency, with plans to fully open the Shop function in the US this year. The fully managed model is becoming an industry trend, testing the platform's product selection and operational capabilities, while also bringing opportunities and challenges to merchants. TikTok e-commerce is accelerating its transformation, and the combination of its massive traffic and the fully managed model may reshape the landscape of cross-border e-commerce.
Despite tariff pressures, international air cargo rates remain strong. Recent data shows a global increase in air freight costs, particularly on outbound routes from China. Cancellations of e-commerce flights and holiday impacts have caused fluctuations in cargo volumes, but the market remains generally stable. Businesses must seize opportunities to address challenges.
This paper explores common pitfalls in data-driven product selection for cross-border e-commerce sellers. It points out that blindly relying on data and engaging in homogeneous competition are key reasons for selection failure. The article emphasizes that data analysis should assist, not replace, decision-making. Sellers should integrate data insights with their own strengths to create differentiated innovations in order to stand out in the fierce market competition. A balanced approach combining data analysis with strategic thinking is crucial for successful product selection.
Alibaba.com's paid marketing service (Direct Train) introduces real-time data features, providing cross-border e-commerce sellers with key real-time data such as impressions and clicks to facilitate refined operations. With real-time data, sellers can promptly adjust budgets, optimize premium ratios, and refine keywords and products to improve promotion effectiveness. This article details the usage methods and common issues related to real-time data and looks forward to future development directions. This helps sellers make data-driven decisions and improve their advertising ROI.
This article provides a detailed introduction to the process and data analysis of Amazon advertising, covering three advertising types: Sponsored Products, Sponsored Brands, and Sponsored Display. It also explains the interpretation and application of key data metrics. This article enables readers to quickly get started with Amazon advertising and master data analysis methods to achieve continuous growth in store performance. It provides practical insights for optimizing ad campaigns and leveraging data to improve ROI in the competitive cross-border e-commerce landscape.
This article explores the new challenges faced by e-commerce logistics and the strategies to address them. It emphasizes the importance of CSSP, how to turn returns into advantages, and the three key elements of a successful supply chain. It highlights the critical role of data-driven decision-making in the future of logistics.
E-commerce sellers face the challenge of high return rates. This paper analyzes the causes of returns from a data analysis perspective and provides corresponding strategies, including optimizing product descriptions, strengthening quality control, improving the shipping process, and establishing a return data analysis system. It also emphasizes the importance of return process management and measures to prevent return fraud. Finally, it proposes a data-driven continuous optimization strategy to help sellers reduce return rates and improve operational efficiency.
