An artificial intelligence project that issues warnings before problems arise in hotels has received TÜBİTAK support.
The Talya QMS-AI project, which aims to transform quality management in the hospitality sector, has won R&D support from TÜBİTAK. The system is designed to provide warnings in hotels before problems arise.
The Talya QMS-AI project, aimed at transforming quality management in the accommodation sector, has earned the right to receive TÜBİTAK's R&D support. The project aims to build an artificial intelligence system that gives warnings in hotels before problems arise.
This is a solution operating in the field of quality management: the system is designed to detect issues affecting guest satisfaction at an early stage. TÜBİTAK support is intended for the project's R&D phase.
This direction is not new for hotels — problems related to guest complaints, cleanliness and service quality usually come to light only after they have already occurred. The early warning approach, however, offers the opposite: a signal before it turns into a problem.
For hotels and guesthouses in Azerbaijan, this news does not yet mean a directly applicable product, but it shows which direction technology is heading in quality control.