Erikhov M.M.Published in:
Russian Journal of Retail Management
– Volume 4, Number 2 (April-June 2017)

JEL classification: C31, C32

Keywords: demand curve, graphic - analytical algorithm, Optimization of the price menu, price discrimination, price segment, quasi-optimal working point, self-segmentation of the market


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Abstract:

The article considers the issue of optimization of the price menu during the application of technologies of price discrimination. Assuming that the typical demand curve remains unchanged, we suggest an iterative procedure for calculating the optimal price menu, that allows a graphic-analytical interpretation. On the basis of the algorithms, it is possible to generate a spectrum of ways to organize dynamic pricing in many areas of practical business.

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References:
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Erikhov M.M. (2017). Segmentatsiya rynochnogo sprosa na uslugi passazhirskogo transporta [Segmentation of the Market Demand for Passenger Transport Services]. Journal of Economic Theory. (1). 42-48. (in Russian).
Erikhov M.M., Gibadullin V.Z. (2017). Sistema dinamicheskikh optovyh skidok na produktsiyu APK na osnove slabo strukturirovannyh prognoznyh modeley [System of dynamic wholesale discounts on products of agrarian and industrial complex on the basis of poorly structured forecast models] Scientific support for the implementation of government programs to support the agro-industrial complex and rural areas. 83-86. (in Russian).
Erikhov M.M., Kardinalova O.K. (2016). Kontseptsiya alternativnogo modelirovaniya sprosa i optimizatsiya tsenovoy politiki [The concept of alternative demand modeling and optimization of pricing policy] Management of economy: methods, models, technologies. 114-117. (in Russian).
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Erikhov M.M., Kardinalova O.K. (2016). Multitsenovye strategii - proryvnoe napravlenie razvitiya passazhirskogo avtobiznesa [Multicene strategies - a breakthrough direction in the development of passenger car business]. Avtotransportnoe predpriyatie. (8). 25-27. (in Russian).
Erikhov M.M., O.K. Kardinalova O.K. (2017). Adaptivnaya avtomatizirovannaya sistema optimizatsii valovoy vyruchki gorodskogo passazhirskogo transporta [Adaptive automated system for optimizing the gross revenue of urban passenger transport]. Mir transporta. (3). (in Russian).
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