This article analyzes the differences between Temu and Amazon in their cross-border logistics models, focusing on shipping methods, warehousing layouts, delivery times, logistics costs, and service leadership. It provides merchants with a reference for choosing suitable logistics strategies. The comparison shows that both have their advantages, catering to different market needs.
The FMCG industry faces supply chain fragmentation, requiring enhanced resilience and agility. Key strategies include diversifying suppliers, localizing production, embracing digital transformation, and implementing flexible manufacturing. The ultimate goal is to break down silos, enabling information sharing and collaborative operations, thereby creating a more competitive and sustainable supply chain. Building a resilient and adaptable supply chain is crucial for success in the fast-paced FMCG market.
This paper provides an in-depth analysis of various classifications of cross-border e-commerce sellers, including classifications by transaction entity, service type, platform operator, mall type, and shipping model. The aim is to help sellers accurately identify their own positioning and choose a suitable development path to achieve refined operation of their cross-border business. Understanding these classifications allows sellers to tailor their operational strategies for optimal performance and growth in the competitive global marketplace.
This article, from a data analyst's perspective, deeply analyzes 8 mainstream website traffic monetization models, including advertising networks, affiliate marketing, e-commerce self-operation, virtual product sales, advertorial reviews, selling backlinks, EDM mailing lists, and website sales. It details the characteristics, advantages, disadvantages, and operational strategies of each model. The article emphasizes the crucial role of data analysis in traffic monetization, aiming to help website operators more effectively convert traffic into revenue.
This article introduces five mainstream operation models for cross-border e-commerce independent websites: direct shipping from China, Drop Shipping, overseas warehouses, Amazon FBA, and virtual overseas warehouses. It analyzes the advantages and disadvantages of each model and emphasizes the importance of traffic acquisition for the success of independent websites. This helps sellers understand the characteristics of different models and choose the operation method that suits them best.
This article provides an in-depth analysis of three business models under the new TikTok Shop policies: merchant mode, influencer mode, and hybrid mode. It compares their advantages, disadvantages, and applicable scenarios, offering a selection guide and data analysis. The aim is to help merchants make informed decisions based on their own circumstances and seize the opportunities in TikTok e-commerce. This guide helps businesses understand which model best suits their needs to maximize success within the platform's evolving landscape.
Interest-based e-commerce, exemplified by Douyin (TikTok), is challenging the traditional shelf-based e-commerce model. While interest-based e-commerce can rapidly increase GMV, it faces profitability challenges. E-commerce platforms are exhibiting a diversified development trend. Douyin, while focusing on interest-based e-commerce, is also strengthening its shelf-based e-commerce capabilities. In the future, interest-based and shelf-based e-commerce are likely to coexist in the long term, catering to different consumer needs and shopping behaviors.
MIT research indicates that scientific AI models with different architectures converge on similar internal representations when addressing the same problem. Through model distillation, smaller models can mimic the representation logic of high-performance base models, achieving comparable prediction accuracy at a lower cost. Future evaluations of scientific AI will increasingly focus on whether models enter a "truth convergence circle." Lightweight, low-cost AI will accelerate scientific innovation by enabling efficient knowledge transfer and deployment of effective solutions.
The Temu platform offers three operational models: Full Management, Semi-Management, and Y2. Full Management is suitable for factory-type sellers, offering convenience but lower profits. Semi-Management provides sellers with greater autonomy and profit potential but requires attention to fulfillment timeliness. The Y2 model is an upgraded version of Semi-Management, addressing overseas warehousing challenges. Sellers should choose based on their specific circumstances. This variety allows for flexibility and caters to different seller capabilities and risk tolerance within the cross-border e-commerce landscape.
The classification of tobacco HS codes and export rebate policies are essential for trade compliance. This paper analyzes various tobacco products under HS code 24, including processed tobacco, smoking products, and tobacco substitutes, revealing their significance and market potential in international trade. Understanding this information is crucial for industry participants.
