Automation of retail marketing operations with AI: methods for enhancing efficiency and competitiveness
Автор: Tretiakov I.B.
Журнал: Международный журнал гуманитарных и естественных наук @intjournal
Рубрика: Экономические науки
Статья в выпуске: 11-4 (98), 2024 года.
Бесплатный доступ
This article explores the role of automating marketing operations in retail through the implementation of artificial intelligence (AI). It examines methods of integrating AI technologies into retail business processes. Key stages of AI implementation are described, including data preparation, technology selection, and integration with business processes. Metrics for assessing the effectiveness of AI automation and its significance for business are provided. Special attention is given to improving customer experience and reducing marketing costs through personalization and precise targeting. The advantages of these methods for enhancing efficiency and competitiveness are analyzed.
Automation, marketing, retail, artificial intelligence (ai), customer experience, personalization, competitiveness
Короткий адрес: https://sciup.org/170208412
IDR: 170208412 | DOI: 10.24412/2500-1000-2024-11-4-244-248
Список литературы Automation of retail marketing operations with AI: methods for enhancing efficiency and competitiveness
- Artificial Intelligence In Retail Market Size, Share, and Trends 2024 to 2033 / Precedent Research. - URL: https://www.precedenceresearch.com/artificial-intelligence-in-retail-market#:~:text=The%20global%20artificial%20intelligence%20(AI,18.6%25%20from%202024%20to%202033 (date of application: 15.10.2024).
- Haque A., Akther N., Khan I., Agarwal K., Uddin N. Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000-2023) // Informatics. - 2024. - Vol. 11. № 4. - P. 74. EDN: DZQVJQ
- Impact of artificial intelligence (AI) and machine learning (ML) use on retail performance between 2022 and 2024 / Statista. - URL: https://www.statista.com/statistics/1453198/ai-and-ml-impact-on-retail-performance/(date of application: 19.10.2024).
- Haleem A., Javaid M., Qadri M.A., Singh R.P., Suman R. Artificial intelligence (AI) applications for marketing: A literature-based study // International Journal of Intelligent Networks. - 2022. - Vol. 3. - P. 119-132. EDN: NUKTDH
- Ajiga D.I., Ndubuisi N.L., Asuzu O.F., Owolabi O.R., Tubokirifuruar T.S., Adeleye R.A. AI-driven predictive analytics in retail: a review of emerging trends and customer engagement strategies // International Journal of Management & Entrepreneurship Research. - 2024. - Vol. 6. № 2. - P. 307-321. EDN: LODDHZ
- Sharma S., Islam N., Singh G., Dhir A. Why do retail customers adopt artificial intelligence (AI) based autonomous decision-making systems? // IEEE Transactions on Engineering Management. - 2022. - Vol. 71. - P. 1846-1861.
- Ogarkov A.I. Management of sales and marketing efficiency in the pharmaceutical industry // Stolypin Bulletin. - 2024. - № 3/2024.
- Kumar V., Venkatesan R. Transformation of metrics and analytics in retailing: The way forward // Journal of Retailing. - 2021. - Vol. 97. № 4. - P. 496-506. EDN: LGQUUM