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Calculating the Optimal Price of Products in an Online Store

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10486))

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Abstract

This article focuses on the problem of mass optimisation of the prices in online stores. Each year, the number of online stores in the Czech Republic grows, as well as their turnover and the number of offered products. The original solution which consists of manual adaptations of the products’ prices is nowadays insufficient. Therefore, an application was created, that uses data from multiple sources and on their basis automatically calculates the optimal price of a product. This new solution considerably simplifies and accelerates the calculation of the new prices. Moreover, the automatic calculation has also a positive impact on the quality of the resulting prices due to the fact that no mistakes and typing errors are expected to be made in an automatized solution.

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Acknowledgement

This work and the contribution were supported by project “SP-2102-2017 - Smart Solutions for Ubiquitous Computing Environments” Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic.

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Correspondence to Ondrej Krejcar .

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Sukala, O., Maresova, P., Dvorak, J., Selamat, A., Krejcar, O. (2017). Calculating the Optimal Price of Products in an Online Store. In: Younas, M., Awan, I., Holubova, I. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2017. Lecture Notes in Computer Science(), vol 10486. Springer, Cham. https://doi.org/10.1007/978-3-319-65515-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-65515-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65514-7

  • Online ISBN: 978-3-319-65515-4

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