See demand before it happens. Pricepoint predicts bookings, occupancy, and revenue using AI-driven demand modeling — helping you plan pricing, staffing, and strategy with confidence instead of reacting late.
Forecasts bookings, occupancy, and revenue weeks and months ahead
Uses machine learning trained on market signals and property behavior
Continuously updates forecasts as demand signals evolve
Measures probability of hitting revenue and occupancy targets
Flags risk of underperformance or opportunity for overperformance early
Keeps strategy aligned with realistic demand expectations
Combines historical performance with forward-looking demand signals
Detects early demand shifts before pickup changes appear
Supports proactive pricing and restriction strategy decisions
Works automatically alongside Pricepoint’s pricing engine
Provides forecast visibility without manual configuration
Eliminates spreadsheet-based forecasting processes
Supports revenue, marketing, staffing, and operational planning
Helps align commercial and operational strategy around demand reality
Gives leadership clear forward-looking performance visibility
Provides probability-driven forecasts, not static projections
Helps evaluate best-case, expected, and risk scenarios
Enables faster, data-backed strategic decisions
Hotels around the world are using Pricepoint AI to run their revenue management without having to lift a finger. Here's some testimonial from HotelTechReport
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Most systems update forecasts just a few times per year, and they quickly become outdated. ForecastIQ is fully dynamic — it continuously updates using real-time and predictive data. While traditional reports show what’s already happened, ForecastIQ tells you what’s about to happen — so you can act, not just react.
Not at all. It connects with your existing systems and starts generating forecasts as soon as it has access to your booking and historical data.
Yes — it’s built to be intuitive for owners and managers who wear multiple hats. No analyst required.
Definitely. ForecastIQ adapts to the unique patterns of each property, including high and low seasons, short booking windows, and weekend vs. weekday behavior.
