The pilot project of the 'Three Mutuals' customs reform has officially launched at the Erenhot port, marking a significant optimization of customs procedures. The new model has achieved customs and inspection cooperation, simplified exit procedures, and significantly improved customs efficiency, injecting new momentum into trade facilitation.
The WCO has launched a French version of its Data Model and Customs Valuation online course to help customs officers in French-speaking regions improve their skills and promote trade facilitation. This initiative aims to empower customs officials with the necessary knowledge and tools to effectively implement the WCO Data Model and apply customs valuation principles. By providing access to this comprehensive training in French, the WCO is enhancing accessibility and fostering greater participation, ultimately contributing to more efficient and transparent customs procedures and smoother international trade flows.
Discrepancies between customs declaration data and actual packing are common challenges in foreign trade exports. This paper addresses this issue by proposing solutions such as emphasizing early estimation, establishing a comprehensive packing process, and communicating promptly with customs brokers. The aim is to help foreign trade companies skillfully mitigate risks and successfully complete exports while maintaining compliance.
At the request of Oman Customs, the World Customs Organization (WCO) held a data analysis workshop to enhance their data analysis capabilities. The workshop focused on developing a data mobilization strategy, cultivating data analysis talent, and recommending a phased implementation of data analysis projects. It also emphasized strengthening external cooperation and building a data-driven culture to support Oman Customs' data-driven transformation. This aims to improve efficiency in areas such as risk assessment, revenue collection, and trade facilitation, ultimately leading to better customs operations.
This paper explores the application of Generative AI (GenAI) in the customs domain from a data analyst's perspective. It analyzes the technical principles, limitations, and potential applications of GenAI, emphasizing the importance of building high-quality training corpora. It also proposes strategies to address the challenges brought about by GenAI implementation. The aim is to provide a reference for customs departments in formulating informed GenAI strategies. The paper highlights the need for careful consideration of data quality and ethical implications for successful GenAI deployment within customs operations.
The World Customs Organization (WCO) held a data analysis workshop for Peruvian Customs to enhance trade facilitation. The workshop introduced key techniques for data collection, classification, and validation. It highlighted the application of data analysis in risk identification and trade compliance assessment. Peruvian Customs expressed appreciation for the event and discussed future cooperation with the WCO to strengthen data analysis capabilities and promote trade development. The aim is to leverage data insights for improved efficiency and security in customs operations.
The World Customs Organization (WCO) held a workshop on Data Analysis and Artificial Intelligence for Bhutan Customs, aiming to enhance its data-driven decision-making capabilities. Through theoretical learning, practical exercises, and international experience sharing, Bhutanese customs officials grasped the applications of data analysis and AI in areas such as risk management and fraud detection. This initiative lays the foundation for the modernization and transformation of Bhutan Customs, enabling them to leverage data for improved efficiency and effectiveness.
With support from the Sida-WCO program, Zambia and Botswana are advancing customs system interconnectivity and data exchange. This initiative aims to improve customs clearance efficiency and promote regional integration. By linking their customs systems, both countries seek to streamline trade processes, reduce delays, and enhance transparency. The improved data exchange will also contribute to better risk management and security. This collaboration highlights the importance of regional cooperation in facilitating trade and fostering economic 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.
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.
