An analysis of the life cycle of food products, the relationships between indicators of production, consumption, food losses, as well as the quality of life of the population will allow us to form a number of measures to reduce food losses and food waste. The paper sets the tasks of identifying the sources of food losses based on a statistical study of the level of losses in the regions of the Russian Federation and an analysis of the life cycle of a food product. The analysis of indicators of production and product losses is carried out on the example of potatoes, vegetables, fruits, meat, milk, eggs. The correlation analysis of indicators of production, consumption of products, and food losses showed that the greatest losses occur at the stages of production, processing, and sale in retail chains. Clustering of the regions of the Russian Federation according to indicators of food losses has been performed. Clusters with high production, consumption, and loss rates and with low production, consumption, and loss rates were formed for each type of food under study. A model of the life cycle of food products in BPMN 2.0 notation is constructed. The stages of the life cycle characterized by food losses have been identified. General recommendations on food loss management have been formed.

Keywords: food losses, food loss modeling, correlation analysis, cluster analysis, business process modeling