The following article studies research on cognitive technologies and their application in the transportation of mining waste. Special attention is paid to the development and implementation of intelligent systems which are able to automate the processes of monitoring, analysis and waste recycling. There were discussed the examples of using machine learning and artificial intelligence to improve the efficiency of waste management, minimize their negative impact on the environment and improve the economic indexes of companies. Cognitive technologies allow transport companies to expand their functions in summarizing and processing huge volumes of structured and unstructured data, use machine learning tools for data analysis, execute queries and get the most accurate answers, at the same time ensuring the safety of cargo. In order to increase the effectiveness and speed of transportation, customer service at all stages and at the same time reduce the effect of the “human factor”, it is necessary to develop an offer that will be most optimal for everyone.