| Title: | Revolutionizing Hotel Operations with AI : A Case Study on the Power of ChatGPT and Gemini Integration |
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| Authors: | ID Limna, Pongsakorn (Author)
ID Kraiwanit, Tanpat (Author)
ID Tanantong, Tanatorn (Author)
ID Chumwatana, Todsanai (Author) |
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| Files: |  AT_Limna_Kraiwanit_Tanantong_Chumwatana_2025.pdf (218,72 KB)
MD5: E21E352CB1D9C405173D990861C324F0
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | ZUP - University of Primorska Press
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| Abstract: | This study investigates the implementation and impact of ChatGPT and Gemini in a four-star hotel in Ao Nang, Krabi, Thailand, during January–February 2024. Through a mixed-methods approach combining quantitative analysis and qualita-tive insights, the research assessed operational metrics across multiple service areas and gathered detailed feedback from the hotel owner. The study revealed significant improvements in operational efficiency, with check-in processing times decreasing from 3.3 to 2.7 minutes and AI system adoption increasing from 82% to 93%. Gu-est satisfaction scores showed notable enhancement, with overall satisfaction rising from 4.6 to 4.8 out of 5. The AI systems demonstrated impressive multilingual ca-pabilities, handling 28 languages with 98.7% accuracy, while document processing achieved 99.2% accuracy across various types. Internal communications benefited from 32% time savings, with efficiency rates exceeding 96% across all categories. Staff adaptation, though initially challenging, was successfully managed through comprehensive training and gradual implementation, resulting in improved job satisfaction and team collaboration. The findings provide empirical evidence that strategic AI integration can enhance both operational efficiency and guest satisfa-ction while complementing human service elements. This research contributes va-luable insights for hospitality managers considering AI implementation and offers a practical blueprint for successful technology integration in the hospitality sector, while also highlighting areas for future research in different hotel categories and geographical contexts. |
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| Keywords: | AI integration, ChatGPT, Gemini, hospitality, operational efficiency |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Place of publishing: | Koper |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 39-55 |
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| Numbering: | Vol. 18, no. 1 |
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| PID: | 20.500.12556/RUP-22208  |
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| eISSN: | 2335-4194 |
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| DOI: | https://doi.org/10.26493/2335-4194.18.39-55 |
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| Publication date in RUP: | 16.12.2025 |
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| Views: | 227 |
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| Downloads: | 1 |
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