The right price for every night, and why
Sentinel AI proposes a rate for every date with its full explanation: demand, booking pace, events and competition. Every recommendation starts pending, you approve it with one click and, if you want, you turn on auto-apply within your limits.
What an explainable price recommendation is
A traditional RMS hands you a number and asks for trust: the algorithm decided and there is nothing to discuss. The problem shows up when ownership asks why that rate was charged and nobody can answer, or when the system proposes something that contradicts what you know about your market and you have no way to verify who is right.
Sentinel AI does the opposite. Every day it calculates a suggested rate for each future date and attaches its causes in plain language: your occupancy, your booking pace (how fast the date is filling compared with your own history), the lead time of incoming demand, the events in your region and your competitors’ prices. The recommendation starts pending: nothing is published until you decide.
From an explained number to a published rate
Every recommendation, argued, approved and traced inside R2 OS.
Every price arrives with its causes
Next to each suggested rate you see the signals that produced it: occupancy, booking pace, lead time, events and your position against the competition. It is written in the language of a hotelier, not a data scientist, so you understand the decision before you make it.
- The causes behind each price, in plain words
- You understand the recommendation before approving it
Born from your own booking curve
The recommendation does not come from an opaque market index: it is calculated from your confirmed reservations and how fast each date is filling against your own history. A night running behind calls for a different price than one that is flying, and the explanation tells you which is which.
- Your occupancy and your real pace as the base
- Every claim is verifiable against your reservations
Competition as context, not as command
The prices of your competitive set (the hotels and rentals you compete against on Booking and Airbnb) enter as one more signal, and the explanation tells you when they mattered and in which direction. You react to the market with judgment, instead of chasing the cheapest rival and giving away margin.
- Your competitors’ rates, date by date
- One signal among several, never the only one
From pending to published, you decide
Every recommendation starts pending your approval. You review the list of the day, adjust any you want and approve with one click, one by one or in bulk. When the flow earns your confidence, you turn on auto-apply and the system publishes for you, always within your price limits.
- Approve, adjust or reject, one by one or in bulk
- Optional auto-apply within your floor and your ceiling
A full history of every decision
What was recommended, with which arguments, who approved it and what was published: everything is recorded. When ownership asks why that rate was charged on March 15, the answer is one click away, with the signals of that day in plain view.
- Recommendation, approval and publication, traced
- Answers backed by data for ownership or an audit
Question whatever does not convince you
If a recommendation looks too high or too low, ask in natural language: why Saturday goes up, which event is pushing it, how similar dates behaved. The answer is calculated on your real numbers and shows you where every figure comes from.
- Questions in your language, answers from your data
- If a number does not exist, it says so, it does not invent
Other systems hand you a number and ask for faith. Sentinel AI gives you the number, its causes and the final word.
Explainable pricing vs. black box vs. manual entry
The speed of an algorithm with the judgment of a human, giving up neither.
| SENTINEL AI | Black-box RMS | Manual rate entry | |
|---|---|---|---|
| A suggested rate every day for every date | |||
| Every price explains its causes | |||
| Nothing is published without your approval | |||
| You choose how much autonomy to grant | |||
| A log of who approved each change | |||
| Covers the whole calendar without hours of data entry |
Frequently asked questions
Does the system change my prices on its own?
What exactly does each recommendation explain?
How is it different from a black-box RMS?
What happens if I reject a recommendation?
Can I automate everything?
Do I need a revenue manager to use it?
PUT YOUR REVENUE TO WORK
Book a demo and see how Sentinel AI suggests the price of every night from your own data.