Operational Inefficiencies and Service Gaps in AI-Based Front Office Systems in Hospitality

  • Unique Paper ID: 194373
  • Volume: 12
  • Issue: 10
  • PageNo: 4117-4126
  • Abstract:
  • Through automation, chatbots, facial recognition, predictive analytics, and intelligent check-in systems, artificial intelligence (AI) has drastically changed front office operations in the hotel sector. Although these technologies promise increased productivity and customized visitor experiences, new data points to serious operational inefficiencies and service deficiencies. In order to uncover recurrent technological, managerial, and service-related constraints connected to AI-based front office systems; this review study critically evaluates recent literature. Key themes were synthesized by analyzing peer-reviewed publications from the previous five years using a systematic literature review approach. Technical constraints, integration and interoperability issues, data quality and algorithmic bias, user adoption reluctance, and service quality gaps resulting from decreased human engagement are the five main areas of concern identified by the study. The study draws attention to a paradox: while automation increases transactional efficiency, it may compromise the quality of relational services. By organizing current knowledge into a conceptual framework of AI-induced service gaps and providing management implications for better balanced human-AI collaboration, the paper adds to the body of literature on hospitality technology. It is suggested that future studies focus on the ethical, cultural, and contextual aspects of AI use in the hotel industry.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{194373,
        author = {Mr. Sanjay Adwani and Mr. Rohit Jaswal and Dr. Sidharth Srivastava},
        title = {Operational Inefficiencies and Service Gaps in AI-Based Front Office Systems in Hospitality},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4117-4126},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194373},
        abstract = {Through automation, chatbots, facial recognition, predictive analytics, and intelligent check-in systems, artificial intelligence (AI) has drastically changed front office operations in the hotel sector. Although these technologies promise increased productivity and customized visitor experiences, new data points to serious operational inefficiencies and service deficiencies. In order to uncover recurrent technological, managerial, and service-related constraints connected to AI-based front office systems; this review study critically evaluates recent literature. Key themes were synthesized by analyzing peer-reviewed publications from the previous five years using a systematic literature review approach. Technical constraints, integration and interoperability issues, data quality and algorithmic bias, user adoption reluctance, and service quality gaps resulting from decreased human engagement are the five main areas of concern identified by the study. The study draws attention to a paradox: while automation increases transactional efficiency, it may compromise the quality of relational services. By organizing current knowledge into a conceptual framework of AI-induced service gaps and providing management implications for better balanced human-AI collaboration, the paper adds to the body of literature on hospitality technology. It is suggested that future studies focus on the ethical, cultural, and contextual aspects of AI use in the hotel industry.},
        keywords = {Artificial Intelligence; Front Office Systems; Hospitality Technology; Operational Inefficiency; Service Gaps; Human-AI Interaction; Digital Transformation},
        month = {March},
        }

Cite This Article

Adwani, M. S., & Jaswal, M. R., & Srivastava, D. S. (2026). Operational Inefficiencies and Service Gaps in AI-Based Front Office Systems in Hospitality. International Journal of Innovative Research in Technology (IJIRT), 12(10), 4117–4126.

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