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The rapid advancements in artificial intelligence (AI) and the Internet of Things (IoT) have revolutionized the hospitality industry, offering new ways to enhance the guest experience while improving operational efficiency. This study explores the integration of AI and IoT technologies to optimize guest satisfaction through personalized services, predictive analytics, and seamless automation.

AI technologies, such as machine learning, natural language processing, and computer vision, enable hospitality businesses to analyze customer behavior, preferences, and feedback in real-time, fostering data-driven decision-making. IoT devices, including smart room controls, connected wearables, and location-based services, empower hotels to provide guests with tailored and immersive experiences. For instance, smart thermostats and lighting systems automatically adjust to individual preferences, while AI-powered chatbots ensure 24/7 customer support and streamlined communication. Despite the evident advantages, implementing AI and IoT in the hospitality sector presents challenges, including data privacy concerns, cybersecurity risks, and high initial costs. This study provides actionable insights into mitigating these risks while emphasizing the importance of ethical considerations in data collection and usage.

This research also highlights the operational benefits for hospitality providers, such as inventory management, energy optimization, and predictive maintenance. By deploying IoT-enabled devices, hotels can monitor equipment health, automate routine maintenance, and reduce downtime. AI-driven algorithms further enhance revenue management by dynamically adjusting pricing strategies based on demand patterns, competitor analysis, and macroeconomic trends.

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