For the first time, the mainland and Hong Kong have achieved the 'one document, two declarations' for road consignments, significantly enhancing customs clearance efficiency. Companies only need to input consignment information once to complete declarations in both regions, which notably reduces customs costs and optimizes the business environment.
The cancellation of the T86 customs clearance model has a significant impact on cross-border e-commerce sellers. Sellers need to adjust their strategies, focus on compliance, and reduce costs in response to new challenges from increased import fees and the complexities of customs procedures.
The logistics industry is transforming through new technologies, enhancing resource integration efficiency, promoting compliance in tax payments, and driving transparent and efficient operations.
This paper delves into the "Self-Operation" model of freight forwarders, elaborating on its concept, operational process, advantages, and disadvantages, while comparing it with the "Non-Self-Operation" model. Focusing on common scenarios under FOB terms, it analyzes the factors to consider and risk mitigation methods when choosing the "Self-Operation" model. The aim is to assist cargo owners/shippers in making more informed decisions, achieving cost control, and improving efficiency in international trade logistics. It provides practical insights into navigating the complexities of freight forwarding under FOB Incoterms.
Temu US has launched a domestic direct shipping semi-managed model, allowing one entity to operate one fully managed and three semi-managed stores. A new 9-day shipping option has been added. The final leg of delivery uses online shipping labels, and shipments from China (CN) are exempt from risk control measures. This new model aims to simplify operations for sellers and improve shipping efficiency for cross-border e-commerce on the Temu platform, particularly for those based in China.
This paper provides an in-depth comparison of TikTok's semi-closed loop central store model and the standard semi-closed loop model, focusing on key differences in store ownership, product category restrictions, and fund settlement methods. The aim is to assist merchants in selecting the most suitable TikTok semi-closed loop model based on their specific business characteristics, financial strength, and risk tolerance. This will enable them to better expand into overseas markets by making informed decisions about their TikTok e-commerce strategy.
The WCO has released Data Model 3.10.0, supporting various data exchanges and ensuring backward compatibility. It aims to facilitate the digitalization of cross-border trade, enhance efficiency, and reduce costs. This update provides a standardized framework for data communication between stakeholders involved in international trade, promoting seamless information sharing and streamlined processes. By adopting this model, businesses and governments can optimize their trade operations, leading to faster clearance times and reduced administrative burdens.
The WCO Data Model version 3.11.0 has been released as a free, interactive app, marking a significant step towards global trade data standardization. This new version includes IMO and UPU message implementation guidelines, aiming to streamline maritime and postal processes, and improve trade efficiency. The freely available WCO DM empowers businesses, reduces compliance costs, promotes data interoperability, and helps build a more efficient and secure global trade ecosystem.
The 63rd meeting of the World Customs Organization (WCO) Data Model Project Team was successfully held, focusing on the progress of WCO Data Model V4, data maintenance request processing, and supporting the International Maritime Organization (IMO) new dataset. The meeting utilized the WCO Data Model application for the first time, improving data maintenance efficiency. The launch of WCO Data Model V4 will further enhance the standardization of customs data exchange and promote global trade facilitation.
Push-based inventory management optimizes capacity through demand forecasting, enhancing operational efficiency. It is particularly suitable for enterprises where production exceeds short-term demand.
