Abstract: Methods, systems, and computer storage media for providing a concentrate grade recommendation using a concentrate grade optimization engine in a material processing engine of a material processing system. The concentrate grade recommendation refers to a quantified value for concentrate grade that corresponds to an economic value for ore of a mining process. In operation, input data comprising material processing planning data and economic data associated with a recovery process are accessed. The input data is analyzed using a grade recovery relationship machine learning model. The grade recovery relationship machine learning model is trained on historical material processing data features associated with concentrate grade and recovery of the material recovery process. The historical data includes data on produced concentrate (e.g., achieved grades and corresponding recovery). Based on analyzing the input data, a concentrate grade that corresponds to an economic value is generated.