In metallurgical production, coke is actively used, and its production involves the use of coals. The main task in coke production is to correctly select the coal blend, which is done based on the expert opinion of technologists with extensive production experience. Modern mathematical methods of data analysis allow digitizing this experience, extracting the best from it, and applying it as a digital twin of the technologist for optimizing the technological process of coal blend selection in coke production