Use of economic-mathematical modeling to improve assortment policy of the enterprise of retail trade
Abstract
To carry out successful activities on the market, an enterprise needs an elaborate commodity politics. As for the retail trade enterprises, that perfection of the organization of trade services for the population and the increase of economic efficiency of the enterprise functioning directly depend on the correct formation of the assortment of goods in the retail trade network. Economic – mathematical modeling is an important component of the process of formation and improvement of the assortment policy of retail enterprises. In the article the process of forming of the range of goods is considered in shops on trading in non-food items commodities. A few universal methods of analysis of assortment is investigational, among that most attention presents combined АВС- XYZ-analysis. The combined matrix of ABC – XYZ-analysis. Bases are reflected plural regressive analysis. Built economic – mathematical model of volume of realization of commodities of groups of AX and BX. The linear regressive model of profit yield from realization of the indicated categories of commodities is built, adequacy of this model is well-proven. Advantages of the considered models are described and an example of their possible application is made at the perfection of assortment politics of enterprise of retail business. Is defined that the use of the combined economic – mathematical modeling has a row of considerable advantages to that it is possible to take the following: exposure of priority commodities bringing a maximal profit and characterized by a stable consumption; increase of efficiency of control system by the commodities; increase of stake of highly remunerative commodities without violation of basic principles of assortment politics. It is proved that the use of economic – mathematical modeling in the formation of the assortment policy of a retail enterprise make it possible not only to conduct quantitative calculations, but also to choose the optimal forecast scenarios of actions.
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