Demand Forecasting • 18/01/2026 Mastering the art of forecasting hotel demand: strategies for revenue management excellence
Demand Forecasting • 20/05/2026 Hotel demand forecasting in 2026: the data layers most RMS still cannot see
Dynamic Pricing Models • 04/05/2026 STR confirms 2026 RevPAR will be flat. Here is the mid-year reforecast playbook
Demand Forecasting • 13/05/2026 Building the demand forecasting tech stack: PMS, RMS, BI and the missing layer in between
Demand Forecasting • 26/08/2026 CoStar just raised 2026 US RevPAR to 4.4 percent. Your mid-year reforecast is already behind CoStar raised the US hotel RevPAR forecast to 4.4%. How revenue leaders should reforecast mid-year, separate event premiums from real demand and protect ADR.
Demand Forecasting • 11/08/2026 Forecasting accuracy reached 96%. It has not fixed the decisions it is supposed to inform AI hotel forecasting models can reach 96% accuracy, yet many properties still miss revenue targets. Learn how to close the gap between hotel demand forecasts and real-world decisions with timing, override governance, and concrete playbooks.
Demand Forecasting • 31/07/2026 Machine learning in hotel forecasting: what the 95% accuracy benchmark actually means and what it misses Learn how to interpret machine learning hotel forecasting accuracy, choose the right error metrics, and build a hybrid framework that links AI demand forecasts to real revenue impact for your hotel.
Demand Forecasting • 05/07/2026 How jordan’s tourism market is reshaping demand forecasting and pricing strategy Explore how Jordan’s volatile tourism market size growth from 2023 to 2025 reshapes hotel demand forecasting, segment strategy, booking channels, and BPS market share analysis using official Central Bank of Jordan and Ministry of Tourism data. by Zara Ogunbanjo
Demand Forecasting • 24/06/2026 Real-time demand sensing for hotels: why the 3-day booking window rewrote the forecasting rulebook Learn how real-time hotel demand sensing, AI-driven forecasting, and live market data help hotels protect rate in a 3-day booking window, with practical guidance for 100-room properties.
Demand forecasting beyond historical data: what 95% accuracy actually requires Demand Forecasting • 07/05/2026 Demand forecasting beyond historical data: what 95% accuracy actually requires Discover how hotels can move demand forecasting accuracy from 80–85% to 95% by improving data quality, using external demand signals, and tightening revenue management routines without sacrificing guest experience. by Simone De Luca
