International Journal of Scientific Research and Engineering Development

Housekeeping operations represent the backbone of hotel service delivery, shaping guest satisfaction and influencing nearly every dimension of operational efficiency. Yet despite their importance, many hotels worldwide rely on manual workflows that remain inefficient, inconsistent, and vulnerable to human error. The rapid digital transformation of the hospitality sector offers an unprecedented opportunity to modernize these operations through the integration of Management Information Systems (MIS) supported by Artificial Intelligence (AI). This paper proposes an expanded and systematically structured approach to intelligent housekeeping management, building on the methodological foundation introduced in Bristy’s 2025 study Smart Reservation and Service Management Systems: Leveraging MIS for Hotel Efficiency. The present work examines how an AI-driven MIS model can automate task allocation, enhance scheduling precision, minimize service delays, and optimize resource deployment within hotel housekeeping departments. Using a mixed-methods research design that incorporates interviews, surveys, operational observations, and statistical performance analysis, this study demonstrates substantial improvements in room turnover speed, workload balance, communication accuracy, and guest satisfaction. The paper concludes with a discussion of future technological pathways, including IoT-enhanced sensing, robotics-assisted service workflows, and cross-system predictive intelligence that will define the next era of intelligent hotel operations.