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Application of Statistical Methods to Support Automation of Pricing in Business

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Advanced, Contemporary Control (PCC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 709))

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Abstract

This paper presents the possibility of using statistical modeling to automate the process of dynamic pricing management with revenue control and adaptation to current legislation in this area. In addition, it is proposed the use of integration of Python tools with the ERP and BI systems popularly used in the industry. This integration in order to facilitates decision-making in this area for the business without the end of programming. The proposed solutions support the CEO enterprises make decisions regarding pricing strategies and optimize their revenues.

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Acknowledgements

Work partially realized in the scope of project titled ”Process Fault Prediction and Detection”. The project was financed by The National Centre for Research and Development on the base of decision no. UMO-2021/41/B/ST7/03851. Part of the work was funded by AGH’s Research University Excellence Initiative under project “Interpretable methods of process diagnosis using statistics and machine learning”.

Author information

Authors and Affiliations

  1. Department of Automatic Control and Robotics, AGH University of Science and Technology, Krakow, Poland

    Katarzyna Grobler-Debska, Edyta Kucharska & Rafał Mularczyk

  2. Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland

    Mieczysław Jagodziński

Authors
  1. Katarzyna Grobler-Debska
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  2. Edyta Kucharska
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  3. Rafał Mularczyk
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  4. Mieczysław Jagodziński
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Corresponding author

Correspondence to Katarzyna Grobler-Debska .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Marek Pawelczyk

  2. Silesian University of Technology, Gliwice, Poland

    Dariusz Bismor

  3. Silesian University of Technology, Gliwice, Poland

    Szymon Ogonowski

  4. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Janusz Kacprzyk

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Grobler-Debska, K., Kucharska, E., Mularczyk, R., Jagodziński, M. (2023). Application of Statistical Methods to Support Automation of Pricing in Business. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. https://doi.org/10.1007/978-3-031-35173-0_4

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