Mining and geometrical prediction of iron ore deposit quality indices to solve problems of long-term and current planning intended to provide the most efficient performance of mining enterprises in terms of ore blending quality and increase rationalization of deposit development is an important aspect of geometrization. Investigations carried out to develop a mining-geometrical method for predicting indices of iron ore deposit quality are topical nowadays. The present study aims to enhance the methodology for geometrization of iron ore deposit quality indices for developing a mining-geometrical method of their prediction to provide rational mining. The research methodology consists in mining and geometrical modeling of quality indices and properties of the deposit, thus enabling determination of a certain relationship between components of a mineral, and, thereby, identification of the nature of these components’ location in the mineral. The latter is essential in design, construction and operation of a mineral deposit. The obtained results allow predicting quality indices of the deposit, assessing mineral reserves and consequently planning and optimizing performance of mining enterprises. The developed methods enable increased efficiency of mining iron ore deposits of Kryvbas.