data

Breaking Revenue Silos in Growing Hotel Chains

Breaking these silos isn’t about adding more tools. It’s about creating a unified revenue strategy scaleable across properties, teams, and revenue streams

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The Evolution of Hotel Demand Forecasting

Hotels can’t afford rearview forecasting. The result is biased predictions and missed profitability that should be captured with a clearer forward view

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Cluster Guest Insights to Improve Hotel Direct Bookings

Hotels can develop property-specific strategies that strengthen pricing decisions and improve marketing effectiveness to improve direct bookings

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Drive Revenue with Real Time Segmentation and Dynamic Pricing

3 areas stand out this year as major revenue drivers: real-time segmentation, forecasting and dynamic pricing. Here we look at each in turn

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Why Your Hotel Needs an AI Agent (Not Just a Chatbot)

To understand if your Hotel AI agent is delivering real value, you need to look at a few core metrics. These simple metrics will help you

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Why the “Single Truth” in Airline Pricing No Longer Exists

For airlines, data is a complex mosaic. Embracing multi-source complexity helps navigate the probabilistic future of airline distribution.

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Commercial Strategy: Building a Culture of Data Driven Hospitality

Commercial leaders are shifting from revenue management to total profit optimization. That means looking beyond rooms to consider every revenue stream

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Increase your Booking Window with Smart Revenue Management

There are techniques you can deploy to help you extend your booking window, giving you more lead time, steadier occupancy and healthier ADR

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Zucchetti: 2026 Crystal Ball Predictions for Hotels video thumbnail

Zucchetti: 2026 Crystal Ball Predictions for Hotels

Silos in Hotel will be broken by technology. The question is does this happen in a strategic way or in an uncontrolled manner that fuels conflict

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BEONx: 2026 Crystal Ball Predictions for Hotels

Hotels that thrive in 2026 will be those that operate leanly without eroding their value proposition. This does not mean cutting headcount indiscriminately

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