<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.upr.si/IzpisGradiva.php?id=22208"><dc:title>Revolutionizing Hotel Operations with AI</dc:title><dc:creator>Limna,	Pongsakorn	(Avtor)
	</dc:creator><dc:creator>Kraiwanit,	Tanpat	(Avtor)
	</dc:creator><dc:creator>Tanantong,	Tanatorn	(Avtor)
	</dc:creator><dc:creator>Chumwatana,	Todsanai	(Avtor)
	</dc:creator><dc:subject>AI integration</dc:subject><dc:subject>ChatGPT</dc:subject><dc:subject>Gemini</dc:subject><dc:subject>hospitality</dc:subject><dc:subject>operational efficiency</dc:subject><dc:description>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. </dc:description><dc:date>2025</dc:date><dc:date>2025-12-16 13:30:16</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>22208</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
