Integral method for determining the key value item group

In this paper, we consider the problem on constructing a mathematical model of the pricing system for retail companies based on the identification of a key value item group of products. The methods of calculating key value item indicators are proposed for further use in dynamic pricing systems based on data on sales of products, revenue received from each product, availability of products provided by competitors at the market, and assessment of correlation between products viewed in consumer baskets. Based on the described methods, we propose a formula for combining a set of methods using an integral method. The goal of this method is to use coefficients to adapt the key value item calculation for individual company development strategies. For the developed methods, we consider a computational example and give conclusions that demonstrate the identification of a key value item group of products for retail companies.