MyStay: An Enhanced AI Hotel Reservation System for Seamless Post-Epidemic Hospitality Experience

The post-pandemic period has presented substantial challenges to the hospitality sector, characterized by frequent guest alterations and cancellations of reservations, thereby resulting in operational disruptions. To respond to these challenges, the present research introduced MyStay, an innovative and advanced hotel reservation system built on cloud computing, seamlessly amalgamating the conventional online reservation paradigm with an advanced decision theory-based model. In the pioneering approach, we considered critical variables such as the likelihood of reservation modifications, associated costs, and the hotel’s deposit refund policy. Using state-of-the-art software engineering methodologies, a prototype of the MyStay system was designed and implemented, followed by a comprehensive evaluation conducted through rigorous experimental simulations. The findings revealed a noteworthy 49.94% enhancement in guest reservation satisfaction, providing evidence of the substantial improvement in guest contentment facilitated by the upgraded reservation functionality of MyStay. This study result offered the solution for the challenges encountered by the hotel industry in managing reservation modifications during the post-pandemic era and contributed to research on related topics.