Know how the month will close, before it ends
Sentinel AI projects your demand from your own booking curve (pace and pickup), adds your region events and shows you where every number comes from. Your history, not a crystal ball.
What pace and pickup forecasting is
Pace measures how fast a future date is filling compared with how that same date filled in your history, at the same lead time. Pickup is the net change in bookings (new minus cancellations) for a date over recent days. Together they tell you whether a night is running ahead, in line, or behind, today.
Sentinel AI takes what you already have booked (OTB) and divides it by the fraction of demand that was historically already booked at this same lead time. The result is an honest projection of month-end: never below what is booked or above your capacity, and keeping your ADR.
How it helps you sell every night better
Every demand signal, explained and actionable, inside R2 OS.
Forecasts built on your booking curve
Instead of a flat seasonal average, Sentinel learns the shape of how YOUR dates fill and compares today against that pattern. A night falling behind its normal curve is flagged early, while it is still cheap to react.
- Compares against your own history, not generic averages
- Spots cold or hot dates before an average would
Pickup, day by day
See the net rooms gained or lost for any future date over the last day, week or two weeks. Instead of one occupancy number, you watch momentum: which dates accelerate, which stall, and which need a price move today.
- New minus cancellations, by time window
- Prioritizes the dates that are really moving
Pace against the same lead time
Every date is measured against the same lead-time point in your history, so 60% occupied finally means something. You instantly know whether you are ahead of, in line with, or behind a date you have already lived through.
- Context, not numbers in a vacuum
- Separates the early window from the last-minute one
Events and demand calendar
A forward calendar surfaces the conferences, concerts, holidays and day-of-week patterns that move demand before they reach your books. You raise rates for the festival weekend three months out, not after you notice you are full.
- Your region events, not a generic market
- Anticipates demand peaks and dips
A forecast you can audit
Every projection exposes its method: the pace fraction, the sample size and the events behind it. It is not a black box that spits out a number; your team sees why the forecast says what it says, defends it to ownership and trusts it.
- Every number shows its formula and its sample
- If there is not enough history, it says so; it does not invent
Feeds your pricing decisions
The forecast is not a report you file away: it feeds the Sentinel AI rules engine directly to suggest which rates to move and when, while rooms are still sellable and the ADR impact is highest.
- Connects the forecast to your pricing strategy
- Acts while the room can still be sold
Other systems hand you a number and ask you to trust it. Sentinel AI shows you where it comes from, with your own data, so you decide.
Pace and pickup vs. the traditional approach
Why your own curve beats an average or a spreadsheet.
| SENTINEL AI | Seasonal average | Spreadsheet | |
|---|---|---|---|
| Updates with every booking | |||
| Looks at each date, not an average month | |||
| Reacts to events and demand shocks | |||
| Distinguishes by lead time | |||
| Every number is auditable | |||
| No manual work or versions |
Frequently asked questions
What is the difference between pickup and pace?
Why not just use last year average?
What does on-the-books (OTB) mean?
Does it account for events like concerts or conferences?
Can I trust the forecast or is it a black box?
Do I need a lot of history for it to work?
PUT YOUR REVENUE TO WORK
Book a demo and see how Sentinel AI suggests the price of every night from your own data.