This article delves into the causes of high-cost keywords on Alibaba.com and offers five optimization strategies: improving keyword-product relevance, optimizing product selection, precisely targeting the target market, analyzing popular search countries and traffic sources, and enhancing promotion scores. The aim is to help operators effectively control their budget and improve promotion efficiency.
This article focuses on the latest trends in cross-border e-commerce platforms, analyzing policy changes such as Amazon's Partnered Carrier Program and Alibaba.com's rule upgrades. It also examines industry dynamics, including AliExpress's Spring Festival service adjustments and Southeast Asian logistics financing. The analysis aims to provide cross-border e-commerce sellers with coping strategies and insights into market trends, helping them navigate the evolving landscape and make informed decisions. It offers practical guidance for adapting to new regulations and optimizing logistics operations.
This article introduces the SWIFT/BIC code of the Reserve Bank of Malawi (RBMAMWMW COM) and its significance in international remittances, helping readers understand how to ensure that their funds reach the destination safely and quickly.
This article focuses on the SWIFT/BIC code RBMAMWMW COM of the Reserve Bank of Malawi, discussing its significance in international remittances. It emphasizes the crucial role of ensuring the accuracy of the SWIFT code for the smooth transfer of funds.
Lazada officially launched its Singapore overseas warehouse, providing local warehousing and delivery services to all merchants, enabling ultra-fast order fulfillment within 24 hours. Simultaneously, Alibaba.com has upgraded after-sales service standards for the machinery industry, clarifying service timelines and improving response speed. These initiatives aim to help cross-border e-commerce sellers reduce costs, increase efficiency, and seize market opportunities. The upgraded after-sales service focuses on clear service timeframes to improve response speeds for international buyers and sellers.
This article interprets the updated Alibaba.com product control rules regarding German WEEE, as well as the EPR regulations in Spain and Austria. It emphasizes the importance of EPR compliance, detailing compliance methods, the consequences of non-compliance, and the steps to upload EPR registration numbers in the Alibaba backend. The aim is to help cross-border e-commerce sellers understand and comply with relevant regulations, avoiding potential risks and losses.
HomingDay, a standalone website founded by a former Alibaba executive, secured $4 million in funding, targeting the mid-to-high-end market in Southeast Asia. Giants like ByteDance and Alibaba are also increasing their investment in Southeast Asian e-commerce. However, the market's small size and low profits remain challenges. Despite these difficulties, these companies are optimistic about Southeast Asia's growth potential and are actively vying for market share. The region's burgeoning digital economy and increasing internet penetration make it an attractive target for expansion.
Alibaba.com has announced a new regulation prohibiting the sale of alcoholic beverages and food products to Saudi Arabia. This rule, effective February 18, 2025, is based on Saudi Arabian law and Islamic Sharia, which forbids the sale of alcohol. Merchants are advised to review existing orders and adjust their sales strategies accordingly. Alibaba.com will strengthen its monitoring and impose penalties on violators. This measure aims to ensure that platform merchants comply with Saudi Arabian laws and highlights the importance of compliant operations in cross-border e-commerce.
Alibaba released its large language model "Tongyi Qianwen," marking its official entry into the competitive field of LLMs. The article reviews the historical roles of BAT (Baidu, Alibaba, Tencent) in China's internet development. It introduces Alibaba's progress in large model research and development, including its open-source initiatives. Finally, the abstract looks ahead to future development trends in the era of large language models.
This study evaluates the application of ERNIE Bot (Wenxin Yiyan) and Qwen (Tongyi Qianwen) in the field of education. Tests in subjects like high school English and junior high school mathematics reveal that both models possess strengths and weaknesses, indicating room for improvement. The assessment highlights the current capabilities and limitations of these large language models in supporting educational tasks and providing personalized learning experiences. Further research and development are needed to optimize their performance and ensure their effective integration into educational settings.
