In the hospitality industry, energy consumption accounts for a significant portion of operational costs. With the increasing push toward sustainability, optimizing energy usage is vital. This paper proposes a framework that leverages artificial intelligence (AI) and data analytics to optimize energy consumption in hospitality operations. By utilizing historical data such as occupancy rates, HVAC usage, lighting, and other operational factors, machine learning models like regression and time-series forecasting are trained to predict energy demand. The results are visualized using powerful tools like Tableau and Power BI, providing facility managers with actionable insights to implement more sustainable practices. This data-driven approach aims to reduce energy wastage, lower operational costs, and contribute to environmentally-friendly practices in the hospitality sector.