This paper is devoted to optimizing the processes of work using intellectual control systems for the transportation and grinding of ore in gold mining fields. Ore is being optimized through the introduction of modern technologies and information systems in the transportation and grinding processes in order to increase efficiency, reduce energy consumption and reduce production costs. The paper examines the applications of IoT technologies, artificial intelligence, and large-scale data analysis in ore transport and grinding processes. With these systems, there is talk of monitoring processes in real time and improving the efficiency of equipment operation. New methods for managing ore transport and grinding processes through mathematical models, optimization algorithms and artificial neural networks are also presented. The results of scientific research in this paper can contribute to innovations and technological developments in the field of gold mining. Improving efficiency through automation of gold mining processes and intellectual management systems not only contributes to economic benefits, but also to the protection of the environment.