Hospitality Demand & Revenue Intelligence
AI ingests historical bookings, events, competitor rates, guest behavior, and F&B data to forecast demand across rooms and outlets in real time. It then optimizes pricing, promotions, and inventory while reducing food waste and emissions, boosting RevPAR and profitability. Hotels use these insights to align staffing, purchasing, and marketing with forecasted demand for more efficient, guest-centric operations.
The Problem
“Your rates, staffing, and F&B plans are based on stale forecasts and siloed data”
Organizations face these key challenges:
Revenue teams update forecasts and rates manually (Excel/weekly meetings), so pricing lags real demand shifts and events
Inconsistent decisions across properties/outlets because each manager uses different assumptions and spreadsheets
Competitor rate changes and pickup anomalies are detected late, causing avoidable ADR erosion or occupancy loss
F&B ordering/production is based on gut feel, leading to stockouts on busy days and double-digit food waste on slow days