AI Virtual Revenue Manager: Why the Next Era of Hotel RM Isn’t About Better Dashboards
The next evolution in hotel revenue management isn’t a faster dashboard or a smarter pricing algorithm – it’s an AI…
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Disha Limbasiya is a Data Analyst at HotelSwitchboard, where she operates at the intersection of hospitality and analytics. With a strong eye for detail and a natural curiosity for how data reflects real-world operations, she focuses on turning complex information into clear, actionable insights.
Early in her career, Disha has developed a thoughtful, methodical approach to analysis–prioritizing accuracy, consistency, and contextual relevance. She is particularly interested in how data can support smarter decision-making in dynamic hospitality environments, enabling teams to better understand trends, patterns, and performance drivers.
Her passion for continuous learning and her enthusiasm for uncovering the “why” behind the numbers drive her to explore modern analytics practices and contribute to scalable, insight-led solutions through platforms like RevEVOLVE.
Disha holds a Master’s degree in Technology with a specialization in Data Science and Artificial Intelligence.
Her strong academic foundation empowers her to bridge the gap between technical depth and business application–shaping her ability to deliver analysis that is both precise and practically impactful.
RevEvolve has been enhanced with the introduction of new widgets designed to provide better visibility into key performance metrics and business insights. These additions aim to support more informed decision-making by presenting real-time data in a clear and actionable manner. The widgets focus on critical areas such as occupancy trends, revenue performance, market positioning, and […]
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