The peculiarities of the use of the harmonized system of description and coding of goods, the harmonized tariff system of codes in modern customs classification systems are analyzed. Special attention is paid to the challenges that arise when applying these codes, in particular due to the complexity of the product nomenclature, as well as the variety of product descriptions. In addition, the possibilities of integrating IT technologies, machine learning and artificial intelligence methods to automate and optimize customs classification procedures are being explored. Prospects for increasing the accuracy and efficiency of the work of customs authorities due to the implementation of innovative solutions are considered. It is also important to note that classification systems may differ between countries, making it difficult to unify the process internationally. This becomes a serious obstacle to effective customs activity. Thanks to machine learning and analysis of large volumes of data, customs authorities can more effectively detect discrepancies and optimize work with commodity codes. The implementation of such innovative solutions will help to improve the accuracy and speed of work of customs services, which, in turn, will contribute to the transparency and efficiency of international trade.
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