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The Strategic Directions for the Use of Artificial Intelligence in the Hotel and Restaurant Business
Davydova O. Y., Mykhailyshyn A. V.

Davydova, Oksana Yu., and Mykhailyshyn, Andrii V. (2025) “The Strategic Directions for the Use of Artificial Intelligence in the Hotel and Restaurant Business.” Business Inform 1:367–373.
https://doi.org/10.32983/2222-4459-2025-1-367-373

Section: Economics of Trade and Services

Article is written in Ukrainian
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UDC 338.48

Abstract:
The article explores the advantages of applying Retrieval-Augmented Generation (RAG) technology to enhance management efficiency, data analysis, and consumer service improvement. The RAG technology combines generative artificial intelligence models with search mechanisms to obtain relevant data, enabling the generation of personalized responses and providing in-depth analytical reports. The application of RAG in the hotel business has been examined for forecasting room occupancy, managing energy efficiency, performing routine tasks, analyzing seasonal trends, and automating consumer feedback processing. It is demonstrated that the integration of RAG with booking systems facilitates more efficient interaction with consumers by providing accurate responses to inquiries regarding services and accommodation conditions. In the restaurant business, technology allows for the analysis of menu effectiveness, assesses the demand for dishes during different periods, and forecasts costs based on the determination of the quantity of ingredients used and inventory management. Special attention is given to the automation of production operations management: inventory optimization, recipe adjustments, and cost forecasting for products. The advantages of implementing RAG include an increase in the level of service personalization, automation of routine processes, and accuracy in forecasting. Along with this, key challenges are highlighted, such as integration with existing databases, ensuring information confidentiality, and the need for staff training. The strategic importance of using RAG for process optimization and enhancing the competitiveness of hotel and restaurant enterprises is emphasized. Recommendations have been proposed regarding the use of RAG technology to support business adaptability to market changes and consumer expectations. The directions for the use of Retrieval-Augmented Generation in the hotel and restaurant business have been studied, an analysis of statistics and management in the restaurant industry is carried out.

Keywords: hotel and restaurant business, enterprise, management, artificial intelligence, Retrieval-Augmented Generation, technology.

Fig.: 2. Bibl.: 11.

Davydova Oksana Yu. – Doctor of Sciences (Economics), Professor, Head of the Department, Department of Hotel, Restaurant Business and Craft Technologies, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]
Mykhailyshyn Andrii V. – Postgraduate Student, Department of Hotel, Restaurant Business and Craft Technologies, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]

List of references in article

Davydova, O. Yu., and Sysoieva, S. I. “Novitni tekhnolohii ta trendy restorannoho biznesu“ [The Latest Technologies and Trends in the Restaurant Business]. Zhurnal z menedzhmentu, ekonomiky ta tekhnolohii, no. 1 (2024): 72-89. DOI: 10.69803/2312-3427-2024-1-58
Davydova, O. Yu., and Sysoieva, S. I. “Suchasni tendentsii rozvytku IT-tekhnolohii v industrii hostynnosti“ [Current Trends in the Development of IT Technologies in the Hospitality Industry]. Mizhnarodnyi naukovyi zhurnal «Internauka». Seriia «Ekonomichni nauky», vol. 1, no. 4 (2023): 67-73. DOI: https://doi.org/10.25313/2520-2294-2023-4-8699
Shtal, T. et al. “Innovative risk management in the hotel and restaurant business: Scientific and practical aspect“. Scientific Bulletin of Mukachevo State University. Series “Economics”, vol. 11, no. 2 (2024): 116-125. DOI: https://doi.org/10.52566/msu-econ2.2024.116
“Use of artificial intelligence (AI) by accommodation businesses in Europe as of August 2023“. statista. https://www.statista.com/statistics/1454171/ai-use-accommodation-europe/
Chui, M. et al. “Notes from the AI Frontier. Insights from Hundreds of Use Cases“. McKinsey Global Institute. Discussion Paper, April 2018. https://surl.li/zccvpq
Gupta, S., Ranjan, R., and Narayan, S. A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions. DOI: https://doi.org/10.48550/arXiv.2410.12837
Bhat, V. et al. “Retrieval Augmented Generation (RAG) based Restaurant Chatbot with AI Testability“. The 10th IEEE International Conference on Big Data Computing and Machine Learning Applications. Shanghai, China, 2024. DOI: 10.1109/BigDataService62917.2024.00008
Puaud, D. “How Artificial Intelligence can help Hotels: Real-Life Examples“. LinkedIn. https://www.linkedin.com/pulse/how-artificial-intelligence-can-help-hotels-real-life-damien-puaud-a91he/
Morch, A. “10 Data-Backed Ways AI is Revolutionizing Hotels: Boost Revenue, Enhance Guest Experience, and Streamline Operations“. LinkedIn. https://www.linkedin.com/pulse/10-data-backed-ways-ai-revolutionizing-hotels-boost-revenue-are-morch-quewc/
Kewalramani, S., and Rosen, A. B. “Faster food: How Gemini helps restaurants thrive through multimodal visual analysis“. https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-to-optimize-restaurant-operations-through-ai-visual-analysis
Talukder, M. B., and Das, I. R. “The Technology Impacts and AI Solutions in Hospitality“. I-manager's Journal on Artificial Intelligence & Machine Learning, vol. 2, no. 1 (2024): 56-72. DOI: https://doi.org/10.26634/jaim.2.1.20291

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