Smart Hospitality Review: Using IoT and Machine Learning to Its Most Value in the Hotel Industry

The study uses the Internet of Things (IoT) and machine learning (ML) to analyse how a hotel industry is changing. This study investigates how machine learning (ML) algorithms improve demand forecasting, predictive analytics and customized guest experiences, with an emphasis on technical advances. Simultaneously, the incorporation of IoT devices is reviewed for its potential to establish smart and networked hotel settings, promoting energy conservation and real-time monitoring. The combination of machine learning and the internet of things are essential for transforming operational strategies, supporting data-driven decision-making and providing guests with the highest possible degree of individualization. The paper addresses ethical issues and difficulties with data security and privacy while providing effective case stories. In order to help stakeholders navigate the innovative journey towards smarter, more efficient and guest-centric hospitality services, this assessment offers insights into the present state of ML and IoT usage within the hotel sector.