Predictive analysis of the transformat ion of technological solutions that improve the effi ciency of customs services at intelligent checkpoints (using the model approach of P.F. Ferhulst)

The paper presents a forecas t of the development of technological solutions that ensure the implementation of customs services at intelligent checkpoints using the model approach of P.F. Ferhulst. The relevance of the study is due to the need to improve the efficiency of customs infrastructure facilities, in particular, in the context of increasing trade turnover and the complexity of logistics chains. The key issues affecting the capacity of checkpoints are analyzed, and the need for innovative approaches, including the use of digital technologies, artificial intelligence, and predictive analysis methods, is substantiated.
Practical recommendations on the formation of a list of customs services within the IPI metaverse are proposed, taking into account the requirements of international standards and guidance documents, as well as the capabilities of information and service platform at the intelligent checkpoints. Special attention is paid to the analysis of patterns of technological development and the use of the Verhulst model apparatus to predict the level of implementation of innovative solutions, such as intelligent car inspection systems and Big Data analysis to identify customs risks. In conclusion, the author substantiates the need to create a specialized scientific expert group that provides an interdisciplinary approach to the development and implementation of innovative technologies in customs.

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