From guesswork to predictive power: The evolution of hotel demand forecasting
📈 Hotel revenue managers adjust room rates to boost occupancy and sales by forecasting demand trends. Traditional forecasting models relying solely on historical data are inadequate due to constantly changing demand factors. Modern forecasting techniques, including causal AI and machine learning, are crucial for proactive adjustments, as demonstrated by other industries like airlines and online retailers. Cloudbeds Intelligence, set to release in 2025, will incorporate causal AI to optimize hotel revenue management, outperforming traditional models in occupancy and RevPAR (revenue per available room).
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