[email protected] (Charly Livock)

📈 Hotels relying on manual forecasts face accuracy declines beyond a 30-day window due to static data and human bias. Most automated tools use generic algorithms, but property-specific machine learning models can increase accuracy. For a 150-room hotel, inaction could cost €500,000 annually, while a 1% RevPAR lift can add over €51,000 in revenue, yielding a 10x ROI. Adopting tailored automation prevents losses and boosts competitive edge.