Abstract
The paper examines the issues of using the demand for artificial intelligence in business, especially in the area of pharmaceutical retail in Russia. As a target setting, we consider the study of understanding what place AI occupies in the life of society, future trends, and the way it will affect the activities of the companies in which this technology will be introduced, using pharmaceutical retailers as an example. The primary goals of the research are to validate the prospects and limits for the development of AI in Russia, study the experience of various companies using this technology, and analyze the application of AI in pharmaceutical retail. A conclusion is made about the prospects of AI. A forecast about the intensification of the introduction of AI in pharmaceutical retailers in Russia is given.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Analytical Center for the Government of the Russian Federation. (2021). Digital transformation in Russia: Results of 2020 and development prospects. https://ac.gov.ru/news/page/cifrovaa-transformacia-v-rossii-itogi-2020-goda-i-perspektivy-razvitia-26801. Accessed 29 September 2021.
Arkin, P., Abushova, E., Bondarenko, V., & Przdetskaya, N. (2020). The concept of “smart cities”: Prospects for the telecommunications business and the current trend in the development of modern society. In O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.), Internet of things, smart spaces, and next generation networks and systems (pp. 308–317). Springer. https://doi.org/10.1007/978-3-030-65729-1_26
Skillbox Media. (2020). Artificial intelligence, machine learning and deep learning: What is the difference. https://skillbox.ru/media/code/iskusstvennyy_intellekt_mashinnoe_obuchenie_i_glubokoe_obuchenie_v_chyem_raznitsa/. Accessed 12 August 2020.
Lectures by MBA Professors. (2021). AI without hype: Real benefits, difficulties, and limits. https://pro.rbc.ru/lecture/60acbe789a79475b3e8550ae. Accessed 25 May 2021.
Iasanti, M., & Lakhani, K. (2020). Competing in the age of Al. Harvard Business Review. https://hbr.org/2020/01/competing-in-the-age-of-ai. Accessed January–February 2020.
Bondarenko, V. A., & Guzenko, N. V. (2021). Digitalization of the healthcare sector in Russia: “Smart technologies” in ensuring the quality of life. Bulletin of the South Russian State Technical University (NPI). Series: Socio-economic Sciences, 14(1), 103–113. https://doi.org/10.17213/2075-2067-2021-1-103-113
Artun, O., & Levin, D. (2015). Predictive marketing: Easy ways every marketer can use customer analytics and Big Data. Wiley.
Grigsby, M. (2016). Advanced customer analytics: Targeting, valuing, segmenting and loyalty techniques. Kogan Page.
Ivanchenko, O. V., Mirgorodskaya, O. N., Baraulya, E. V., & Putilina, T. I. (2019). Marketing relations and communication infrastructure development in the banking sector based on big data mining. International Journal of Economics and Business Administration, 7(SI2), 176–184.
Lectures by MBA Professors. (2021). The future of artificial intelligence: New opportunities. https://pro.rbc.ru/lecture/60abff489a79472708e629ad. Accessed 25 May 2021.
TAdviser. (2021). Artificial intelligence (Russian market). https://www.tadviser.ru/index.php/Cтaтья:Иcкyccтвeнный_интeллeкт_(pынoк_Poccии). Accessed 27 April 2021.
VokrugSveta.ru. (2020). How much does all the information on the Internet “weigh”? https://www.vokrugsveta.ru/quiz/329408/. Accessed 22 March 2020.
Avdeev, A. (2020). What business processes can be optimized using AI. https://pro.rbc.ru/news/5fd1bc939a79479831110d99. Accessed 28 December 2020.
Ministry of Economic Development of the Russian Federation. (2020). Robotics and artificial intelligence. https://www.economy.gov.ru/material/directions/gosudarstvennoe_upravlenie/normativnoe_regulirovanie_cifrovoy_sredy/robototehnika_i_iskusstvennyy_intellekt/. Accessed 28 December 2020.
Joshi, A., & Wade, M. (2020). The building blocks of an AI strategy. https://sloanreview.mit.edu/article/the-building-blocks-of-an-ai-strategy/. Accessed 10 August 2020.
Rybachuk, S. (2019). Artificial intelligence in retail. https://www.retail.ru/articles/iskusstvennyy-intellekt-v-riteyle/. Accessed 15 March 2019.
Russian Federation. (2020). Federal law “on the circulation of medicines” (April 12, 2010 No. 61-FZ). Moscow, Russia. http://www.consultant.ru/document/cons_doc_LAW_99350/. Accessed 4 March 2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Bondarenko, V.A., Galazova, S.S., Kostoglodov, D.D., Przhedetskaya, N.V., Solyanskaya, J.V. (2023). Issues of Using Artificial Intelligence in Pharmaceutical Retail in Russia. In: Makarenko, E.N., Vovchenko, N.G., Tishchenko, E.N. (eds) Technological Trends in the AI Economy. Smart Innovation, Systems and Technologies, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-19-7411-3_40
Download citation
DOI: https://doi.org/10.1007/978-981-19-7411-3_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-7410-6
Online ISBN: 978-981-19-7411-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)