ПРИНЯТИЕ РЕШЕНИЙ В УПРАВЛЕНИИ ЦЕНОВОЙ ПОЛИТИКОЙ НА РЫНКЕ РЕЧЕВОЙ АНАЛИТИКИ

Abstract

The article is devoted to adapting general mathematical models of the software markets for describing the mar-ket of a specific product. These are the technologies of artificial intellect in speech analytics. The purpose of this study is to create a modeling instrumentation for pricing the technologies of speech analytics in companies which enter this mar-ket. The purpose also includes recommendations provided with the price policy. The object of the study is the Russian market of speech analytics technologies. The subject of the study are the prices of this product in companies which enter the market being explored. In this studying the authors use classical methods of economical and mathematical modeling the markets with different competitive levels (monopoly, duopoly, oligopoly, monopolistic competition). The results of the study are the foundations of prices for the companies which enter the speech analytics market. These prices are based on three kinds of economical mathematical models: regression, rating and marginal indicators. All three kinds of models lead to one recommendation. A company entering the speech analytics market, when setting a price, should focus less on the quality of speech recognition (this factor has little effect on the price in all three models), and more on the availability of additional options: the more of them, the higher the company’s ability to set the price at a level closer to the market leaders.