The focus of the research was the operation of bathing facilities, an industry that has not yet undergone significant modernization. Visitors often face long queues when purchasing tickets, which reduces their overall experience. To address this challenge, it was proposed designed and implemented an AI-powered intelligent recommender system (SPAIRE) that simplifies and accelerates access to services at bathing facilities. The work involved efficient analyzing the operational processes of such venues, identifying the data structures required, and designing a relational database with MySQL. A Node.js–based server was developed to provide APIs for secure communication between the application and the database. The mobile front end was implemented using React Native, offering users an intuitive interface for browsing facilities and purchasing services. SPAIRE includes a novel custom-trained ChatGPT API, designed to provide responses in an understandable standardized format and generate suggestions and responses for client questions. This solution demonstrates how modern technologies can improve the efficiency of service management while enhancing user experience. Beyond providing a practical implementation, the project also offered insights into intelligent application design, system integration, and the complexities of software development that could be useful for both researchers and software developers. There are details given to allow the replication of the research.