Systematization of goods identification signs for customs purposes when building intelligent classification systems

The work analyzes the text descriptions of commodity items of the Commodity Nomenclature of Foreign Economic Activity for footwear, and identifies the characteristics that influence the classification. A systematization of features available for visual recognition and formalization from documentation is proposed. The possibilities of using artificial intelligence methods to solve classification problems are presented and the experience of building an expert system is given.