Your year is decided in a few weeks. Price them in time
At a resort, peak season is decided months before it arrives. Sentinel AI sees the season coming in your own booking curve, raises rates while the selling window is still open, and helps you fill the low season without giving away your best nights.
The revenue problem of a resort
A resort does not sell like a city hotel. Your guests book months in advance, stay several nights and arrive concentrated in a few peak weeks. That means the rate for your high season is decided today, not when the season starts: if you sell out February in September at September prices, that money never comes back. And the seasonal rate sheet printed once a year cannot correct course when the year turns out differently.
Sentinel AI, the RMS that lives inside R2 OS, works with your long window instead of ignoring it. It forecasts every date from your own booking curve using pace, how fast a date is filling compared with your history at the same lead time, and pickup, the net change in bookings over recent days. When the season accelerates early, you see it in the curve and raise rates in time; when a date runs cold, you know months ahead and react with pricing, not panic.
How it works your season, end to end
From the high-season peak to the low-season valley, with your own data and your own rules.
The peak is priced months ahead
With a long booking window, every week your peak rate runs short is inventory sold cheap that never comes back. Sentinel AI watches how your high season is filling against how it filled in your history and shows you when demand supports a higher rate, while there is still season left to sell.
- Spots the peak in your curve before it sells out
- Avoids the classic: selling February in September at September prices
Your seasons and events, in view
A forward demand calendar marks your peak dates, long weekends, holidays and the events in your region that concentrate bookings. You see the whole year the way your resort lives it: peak, shoulder and valley, each with its own behavior, not an annual average that flattens the differences.
- Conferences, festivals and holidays overlaid on your dates
- Anticipates peaks instead of discovering them in occupancy
An honest projection months out
Sentinel AI takes what you already have booked and divides it by the fraction that was historically already booked at that same lead time. The result is a season close projected from your real history: never below what is booked or above your capacity. If a year runs atypical, current momentum gives it away and the projection adjusts.
- Every projection shows its method and its sample
- If history is missing, it says so; it does not invent
Different limits for peak and valley
You define a price floor and ceiling per season and per category: a firm minimum for your peak weeks and a realistic one for the valley. No recommendation crosses them, not at the highest point of the season and not on the softest date of the year. How aggressive the system gets is your decision, in writing.
- Floor and ceiling per season and category
- The low season never discounts away what the high season builds
Every booking window, its own play
The booking made 8 months out is not worth the same as the last-minute one. Sentinel AI measures every date against the same lead time in your history, so you know whether your season runs ahead or behind years you have already lived, and the shoulder nights around the peak get worked in time, which is where the new money is.
- Compares against your same lead time, not an average
- Stretches the season by working the shoulder weeks
Recommendations with a why, you approve
Every day you receive price recommendations, explained: which signal from your curve, which event and which rule produced them. They arrive pending and you approve with one click; once the evidence earns your trust, you turn on auto-apply within your limits. In the ownership meeting, every rate of the season has its documented why.
- Approve with one click or automate within your guardrails
- Every price is auditable: signal, rule and approval
Other systems hand you a price for six months out and ask for faith. Sentinel AI shows you the curve, the method and the rule behind every number, so your season rate is your decision, not a bet.
Sentinel AI vs. the seasonal rate sheet
Why a living price beats the annual rate sheet and the manager spreadsheet.
| SENTINEL AI | Seasonal rate sheet | Spreadsheet | |
|---|---|---|---|
| Price adjusts through the whole selling window | |||
| Forecasts each date months out from your curve | |||
| Reacts to an atypical year or a new event | |||
| Respects floors and ceilings per season | |||
| Every price explains its why and leaves a trail | |||
| No night-by-night manual work |
Resort revenue questions
My demand is ultra seasonal, does dynamic pricing even apply?
How far ahead does the system forecast?
How do I avoid giving away the low season?
What if this year runs differently from my history?
Can the system raise rates on its own at the peak?
Do I need a revenue manager to run this?
PUT YOUR REVENUE TO WORK
Book a demo and see how Sentinel AI suggests the price of every night from your own data.