Abstract

Purpose: This paper investigates the impact of AI on the efficiency of hotel operations, with a focus on
improving service quality, optimizing resource utilization, and reducing manual workloads.
Methodology/ Design/ Approach: Using a mixed-methods approach, data was collected through surveys and
interviews with hotel staff across various departments in leading hotels. Quantitative data was analyzed to
measure changes in key performance indicators (KPIs), such as response time to guest requests,
housekeeping efficiency, and maintenance schedules, before and after AI implementation.
Findings: The findings reveal that AI significantly improves operational efficiency by automating routine
tasks, optimizing staff scheduling, and enabling predictive maintenance. Staff members reported increased
productivity, better focus on personalized services, and improved guest satisfaction.
Originality of the Paper: This paper contributes original insights into the growing field of AI in hospitality,
providing a practical framework for hotel management to integrate AI technologies while maintaining
human-centric service quality.