This paper analyses the application of generative artificial intelligence (AI), with an emphasis on automated text processing and communication tools, in managing online guest reviews within contemporary hotel management. Generative AI refers to systems that generate text and content automatically by processing extensive datasets. ChatGPT is applied for automated guest communication, Gemini supports multimodal analysis, and Perplexity enables structured information extraction. Empirical data were collected from two seasonal four-star hotels in Dalmatia across the 2022 and 2023 operating seasons, amounting to 1637 online guest reviews. The analysis identifies four operational advantages: accelerated processing, communication consistency, multilingual support, and personalised replies. The study identifies key limitations such as the absence of authentic emotional intelligence, emerging data protection requirements, and risks of algorithmic bias that necessitate regular ethical oversight. A hybrid AI-human interaction model is recommended, including continuous staff training and ethical monitoring to uphold service quality and digital reputation. Findings are contextualised through practical application and contemporary industry standards.
Cite this paper
š, I. and imunić (2025). AI in the Service of Hotel Management: New Tools and Technologies for Review Management and Guest Communication. Open Access Library Journal, 12, e13863. doi: http://dx.doi.org/10.4236/oalib.1113863.
GuestService.net (2025) What Are the Best AI Tools for Analysing Guest Feedback in Hotels? https://guestservice.net/what-are-the-best-ai-tools-for-analyzing-guest-feedback-in-hotels/
SCIRP (2025) A Systematic Review of AI-Driven Innovations in the Hospitality Sector: Implications on Restaurant Management. American Journal of Industrial and Business Management, 15, 30-40. https://www.scirp.org/journal/paperinformation?paperid=139931
AI Hotel Industry (2025) Ethics and Privacy: Navigating AI Challenges in the Hotel In-dustry. https://www.ai-hotel-industry.com/artikel/ethics-and-privacy-navigating-ai-challenges-in-the-hotel-industry.html
Internal Data (2025) Dataset of Online Guest Reviews from Hotel Liburna and Hotel Marko Polo, Dalmatia, 2022-2023, as Collected and Analysed by the Author.
Dittmar, A., Rein-hard, P., Li, M., Karst, F. and Leimeister, J.M. (2025) Integrating Brand Identity into AI-Based Conversational Agents: A Systematic Literature Review. https://www.researchgate.net/publication/384560124_Integrating_Brand_Identi-ty_Into_AI-Based_Conversational_Agents_A_Systematic_Literature_Review
Puorto, S. (2025) Opinion: Chatbots, Robotics & AI—Humans-as-Luxury: The Future of Hospitality in an AI-Driven Age. Hospi-tality Net. https://www.hospitalitynet.org/opinion/4126522.html?utm_source=chatgpt.com
Krzic, N. (2025) Primjena umjetne inteligencije u hotelijerstvu. Sveuciliste u Zagrebu, Ekonomski fakultet. https://repozitorij.efzg.unizg.hr/islandora/object/efzg:14079
Pusar, M. (2024) Suvremeno hotelijerstvo i AI tehnologije—Utjecaj na konkurentnost i poslovanje. Sveuciliste Jurja Dobrile u Puli. https://repozitorij.unipu.hr/islandora/object/unipu:9990
Perkovic, I. (2024) Intervju: AI revolucija u hotelijerskoj industriji. Alfatec.Ai. https://www.alfatec.ai/hr/akademija/baza-znanja/intervju-ivana-perkovic-o-ai-revoluciji-u-hotelijerskoj-industriji