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From guesswork to predictive power: The evolution of hotel demand forecasting

Cloudbeds

One of the main challenges for hotels is creating accurate forecasts in the short, medium, and long term. Understanding future demand trends, their causes, and the guest segments driving them can help hotel revenue managers adjust room rates to boost occupancy and sales. But traditional forecasting models no longer cut it.

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Maximizing Hotel Revenue: Advanced Channel Manager Strategies for 2025

STAAH

Move Beyond Syncing, Start Scaling 1) The New Age of Hotel Distribution The hotel distribution landscape has changed. Dynamic Pricing : Real-Time Revenue Optimization Channel Managers like STAAH enable rule-based pricing automation , adjusting your rates based on demand, occupancy, and even competitor pricing. No more repetition.

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CBRE: RevPAR growth to recover in 2024

Hotel Business

CBRE is forecasting RevPAR growth to recover in 2024 as inbound international travel further improves and sector-specific headwinds moderate. The company forecasts 3.0% RevPAR growth next year, driven by a 40 basis-point (bps) occupancy improvement and a 2.3% CBRE’s baseline forecast anticipates 0.8% ADR increase.

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

Hotel Speak

Predictive Demand Forecasting Predictive analytics utilizes historical data, market trends, and external factors to forecast future demand. By analyzing booking patterns, guest behavior, and local events, hotels can anticipate occupancy rates and adjust strategies accordingly.

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New Zealand hotel investment set to ‘bounce back strongly’ as offshore interest grows, JLL reports

Hotel Management

Hotel occupancy, which is at a market average of 70%, is up 15% year-on-year, but remains down (-9%) on pre-pandemic levels. Rotorua’s hotel occupancy rate showed the most improvement, up 39% compared to 2022, slightly ahead of Queenstown, which was up 38%, and higher again than Auckland, which has had a 33% lift.

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CBRE: U.S. RevPAR, occupancy down in Feb.

Hotel Business

decrease in occupancy, which was driven in part by a 1.3% This is 61 basis points higher than previously forecast. decrease in occupancy, which was driven in part by a 1.3% Luxury and upper-upscale posted the only positive chain scale performance during the month, up 2.7% RevPAR, occupancy down in Feb.

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6 AI Agents Reshaping Hotel Operations

Hotel Speak

Business Intelligence Agents: Forecasting with Real-Time and Historical Data Hotel forecasting has historically relied on manual reporting, static historical data, and siloed systems. AI-powered business intelligence agents now allow operators to synthesize data from the PMS, revenue management systems, and market sources in real time.