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Designing a new era of intelligent revenue management

Hotel Business

With all the changes impacting hoteliers so quickly—the need for hotels to do more with less, continuing pressures on margins, the rapid rise of AI—it’s time for new paradigm in revenue management, one rooted in scientific rigor, data integration and interdisciplinary collaboration.

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How decision intelligence unlocks hotel data for better insights

Cloudbeds

If there’s a sudden change, for example, an influx of last-minute bookings hits the system, the platform can enable revenue managers to adjust room rates dynamically to maximize revenue. Why it’s important for hotels? Why it’s important for hotels? DI helps hoteliers get more granular with their segmentation.

Upsell 105
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The Future of Hospitality: Why Single-Solution Platforms Are Transforming Hotel Management

Hotel Speak

But luckily, there is a solution: Single-solution platforms that consolidate all essential hotel management tools into one complete system. Gone are the days of dealing with multiple systems for reservations, revenue management, and guest engagement. Identify upselling opportunities to boost revenue.

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How to maximize hotel revenue without discounting

Hotel Speak

Use revenue tech to your advantage Revenue management systems (RMSs) have evolved to provide smarter segmentation and demand forecasting to tighten levels of granularity. For example, targeting people looking for a local getaway during shoulder seasons or offering special deals to business travelers for repeat bookings.

Revenue 93
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Hotel commercial strategy: Solutions and optimisation guide

SiteMinder

A hotel commercial strategy is a coordinated business approach that integrates sales, marketing, revenue management and distribution efforts to maximise total hotel revenue. A carefully considered commercial strategy can help a hotel respond to global turbulence, technological advancement, and changes in traveller behaviour.

Hotels 52
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How Hotels Can Use Data Analytics To Anticipate And Manage Peak Season Demands

Hotel Speak

Preparing Amenities for Increased Demand Leveraging Data Analytics for Peak Season Management 1. Predictive Demand Forecasting Predictive analytics utilizes historical data, market trends, and external factors to forecast future demand. Segmentation Criteria: Demographics : Age, nationality, travel purpose.

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36 hospitality podcasts to listen to in 2025

Cloudbeds

Past guests include Sarah Fults, VP of Distribution at MGM Resorts, James Lemon, Global Lead of Travel, Transport, and Leisure at Stripe, Jason Pinto, Co-Founder and COO at Pace Revenue, and more. Episodes feature interviews, industry updates, and discussions on topics including short-term rentals, hotels, and travel trends.