The Process of Resolution of Tariff Claims in Customs Management: Analysis of Challenges and Opportunities "Experiences and Lessons Learned in the Resolution of Tariff Claims in Customs Management"

The Resolution of Tariff Claims is a relevant process in Customs Management with a certain degree of complexity, therefore, this research focuses on the analysis of challenges and opportunities faced by said process, with the purpose of developing continuous improvement and generating a significant impact on commercial operations through the experiences learned regarding tariff claims in customs management.Tariff complaints are a fundamental crucial facet within international trade, which presents challenges in terms of the interpretation of customs rules and regulations, the application of foreign trade policies.Understanding the importance of addressing these claims effectively ensures efficient customs management and compliance with trade regulations, therefore knowing how they are classified and how they help or how to better understand the challenges and implement appropriate solutions.It allows addressing the specific problems associated with each type of claim, which is why seeking different innovative solutions is of great interest in recent years, developing in order to improve the management of tariff claims in the customs field.This includes the use of advanced technologies such as artificial intelligence and machine learning to streamline tariff classification processes, reduce errors and facilitate decision-making.Electronic customs management systems have also been implemented to streamline the submission of claims and improve transparency in the process.We also want to project progress and perspectives of tariff claims management, engaging with the evolution of technological advances and changes in international trade agreements, envisioning a future where more efficient and automated solutions, such as blockchain, are implemented to guarantee greater transparency and reduce the incidence of tariff claims.