Proceedings of International Conference on Applied Innovation in IT  ·  2026/07/22  ·  Vol. 14  ·  Issue 4  ·  pp. 1063–1070
AI-Enhanced Chatbot Systems and Service Automation for Intelligent Tourism Management
Sabina Mustafakulova, Shokhruhmirzo Boynazarov, Shakhrizoda Oromjonova, Shakhzoda Mardonova, Raykhona Khalikova, Farzona Ismatulloeva, Ishnazar Mustafakulov and Zilola Djuraeva
📄 Download PDF DOI: Under indexing
Abstract
The rapid digitalization of tourism services and the growing demand for personalized real-time interaction have increased the role of artificial intelligence in tourism management systems. This paper analyses AI-based technologies, particularly chatbots and service-automation mechanisms, for intelligent tourism management. The study combines a structured analytical review with the design and evaluation of a reproducible prototype architecture. The experimental prototype integrates a conversational interface with booking services, customer relationship management platforms, and analytical modules. Evaluation using 1,200 annotated tourism queries and 50 simulated booking dialogues produced an intent accuracy of 92.4%, an entity F1-score of 90.1%, a task success rate of 87.6%, an average end-to-end latency of 1.42 s, and an API success rate of 96.2%. The results demonstrate the feasibility of transactional chatbot integration with tourism service infrastructures. Key challenges include data interoperability, multilingual interaction, service personalization, and responsible AI governance. The practical contribution is a modular reference architecture and a set of measurable system-level performance indicators for intelligent tourism service automation.
Keywords
Artificial Intelligence (AI) Tourism Management Chatbots Service Automation NLP Smart Tourism
References
  1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Hoboken, NJ, USA: Pearson, 2021.
  2. O. M. Alyasiri, A. A. Hassan, and M. A. Jasim, “A survey on the potential of artificial intelligence tools in tourism information services,” Babylonian Journal of Artificial Intelligence, vol. 1, no. 1, pp. 1-8, 2024, [Online]. Available: https://doi.org/10.58496/BJAI/2024/001.
  3. I. Koo et al., “Assessing the interplay of trust dynamics, personalization, ethical AI practices, and tourist behavior,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 11, no. 1, p. 100455, 2025, [Online]. Available: https://doi.org/10.1016/j.joitmc.2024.100455.
  4. Y. Zhang and N. K. Prebensen, “Co-creating with ChatGPT for tourism marketing materials,” Annals of Tourism Research Empirical Insights, vol. 5, no. 1, p. 100124, 2024, [Online]. Available: https://doi.org/10.1016/j.annale.2024.100124.
  5. M. A. Kashem et al., “The role of artificial intelligence and blockchain technologies in sustainable tourism,” Worldwide Hospitality and Tourism Themes, vol. 15, no. 2, pp. 178-191, 2023, [Online]. Available: https://doi.org/10.1108/WHATT-10-2022-0116.
  6. K. Solakis et al., “Factors affecting value co-creation through artificial intelligence in tourism,” Journal of Tourism Futures, vol. 10, no. 1, pp. 116-130, 2024, [Online]. Available: https://doi.org/10.1108/JTF-06-2021-0157.
  7. F. Rafiq et al., “Examining consumer’s intention to adopt AI-chatbots in tourism,” Mathematics, vol. 10, no. 13, p. 2190, 2022, [Online]. Available: https://doi.org/10.3390/math10132190.
  8. P. Suanpang and P. Pothipassa, “Integrating generative AI and IoT for sustainable smart tourism destinations,” Sustainability, vol. 16, no. 17, p. 7435, 2024, [Online]. Available: https://doi.org/10.3390/su16177435.
  9. C. Lukita, G. A. Pangilinan, M. H. R. Chakim, and D. B. Saputra, “Examining the impact of artificial intelligence and internet of things on smart tourism destinations,” Aptisi Transactions on Technopreneurship, vol. 5, no. 2sp, pp. 135-145, 2023, [Online]. Available: https://doi.org/10.34306/att.v5i2sp.332.
  10. J. Shi et al., “Embracing the ChatGPT revolution: unlocking new horizons for tourism,” Journal of Hospitality and Tourism Technology, vol. 15, no. 3, pp. 433-448, 2024, [Online]. Available: https://doi.org/10.1108/JHTT-07-2023-0203.
  11. Y. K. Dwivedi et al., “Leveraging ChatGPT and other generative AI-based applications,” International Journal of Contemporary Hospitality Management, vol. 36, no. 1, pp. 1-12, 2024, [Online]. Available: https://doi.org/10.1108/IJCHM-05-2023-0686.
  12. M. Á. García-Madurga and A. J. Grilló-Méndez, “Artificial intelligence in the tourism industry: an overview of reviews,” Administrative Sciences, vol. 13, no. 8, p. 172, 2023, [Online]. Available: https://doi.org/10.3390/admsci13080172.
  13. Y. H. Ho et al., “Intention to adopt AI-powered online service,” International Journal of Technology and Human Interaction, vol. 18, no. 1, pp. 1-19, 2022, [Online]. Available: https://doi.org/10.4018/IJTHI.299357.
  14. Z. Yang, M. R. Hyman, X. Zhou, G. Li, and Z. H. Munim, “Impact of artificial intelligence on business strategy in emerging markets: A conceptual framework and future research directions,” International Journal of Emerging Markets, vol. 17, no. 4, May 2022, [Online]. Available: https://doi.org/10.1108/IJOEM-04-2022-995.
  15. A. P. Kirilenko and S. Stepchenkova, “Facilitating topic modeling in tourism research: Comprehensive comparison of new AI technologies,” Tourism Management, vol. 106, p. 105007, 2025, [Online]. Available: https://doi.org/10.1016/j.tourman.2024.105007.
  16. T. Kim et al., “Robots, artificial intelligence, and service automation,” Electronic Markets, vol. 32, no. 1, pp. 259-275, 2022, [Online]. Available: https://doi.org/10.1007/s12525-021-00514-y.
  17. D. Xie and Y. He, “Marketing strategy of rural tourism based on big data and artificial intelligence,” Mobile Information Systems, vol. 2022, Art. no. 9154351, 2022, [Online]. Available: https://doi.org/10.1155/2022/9154351.
  18. N. Samala et al., “Impact of AI and robotics in the tourism sector,” Journal of Tourism Futures, vol. 8, no. 1, pp. 73-87, 2022, [Online]. Available: https://doi.org/10.1108/JTF-07-2019-0065.
  19. S. E. Mustafakulova et al., “Comprehensive study of labor landscape automation, economic dynamics and the role of tourism,” International Journal of Science and Research Archive, vol. 11, no. 1, pp. 996-1000, 2024, [Online]. Available: https://doi.org/10.30574/ijsra.2024.11.1.0013.
  20. R. Salmorbekova and M. Talipov, “Digital risk matrix and safety management workflow for airport infrastructure in developing countries: a data-driven prioritization approach,” Vibroengineering Procedia, vol. 62, pp. 653-661, Jun. 2026, [Online]. Available: https://doi.org/10.21595/vp.2026.26121.
  21. S. Mustafakulova, S. Boynazarov, I. Mustafakulov, and Z. Djurayeva, “The role of cultural heritage in tourism development in Uzbekistan,” American Journal of Education and Learning, vol. 3, no. 4, pp. 1063-1071, 2025.
  22. N. Rane, R. Narang, and S. Choudhary, “Sustainable tourism development using leading-edge AI and IoT technologies,” SSRN Electronic Journal, 2023, [Online]. Available: https://doi.org/10.2139/ssrn.4642605.
  23. V. Jain, D. Ather, A. B. Abdul Hamid, R. R. Sharma, G. Talipova, and G. Manteghi, “Secure Arduino-based LiFi communication for IoT sensor networks,” in Proc. 2025 Optical Communication, Photonics, Telecommunications, and Intelligent Machine Applications (OPTIMA), Tashkent, Uzbekistan, 2025, pp. 189-194, [Online]. Available: https://doi.org/10.1109/OPTIMA67660.2025.11380401.
  24. M. Shukurova, M. Talipov, K. Ruziev, and K. Jurayeva, “Advanced geospatial monitoring of oil and gas infrastructure via satellite data,” Mathematical Models in Engineering, vol. 12, no. 2, pp. 190-201, Jun. 2026, [Online]. Available: https://doi.org/10.21595/mme.2026.25328.
  25. N. Tukhboeva, “Cultural heritage reconstruction using virtual and augmented reality,” in Proc. Int. Conf. on Applied Innovations in IT, vol. 11, no. 1, pp. 179-183, Mar. 2023, [Online]. Available: https://doi.org/10.25673/101935.
↑


Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0
 ·  This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

ICAIIT 2026
International Conference on Applied Innovation in IT
Navigation
Publisher
ISSN2199-8876
Publisher Edition Hochschule Anhalt
Location Anhalt University of Applied Sciences
Email Kateryna.Shulakova@hs-anhalt.de
Phone +49 (0) 3496 67 5611
Address Building 01, Room 425
Bernburger Str. 55
D-06366 Köthen, Germany
Open Access License
CC BY-SA 4.0

All works are licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), unless otherwise noted.

Published by ICAIIT in cooperation with Anhalt University of Applied Sciences.

© 2026 ICAIIT — International Conference on Applied Innovations in IT. Anhalt University of Applied Sciences, Köthen, Germany.
Visitors: site traffic counter