Every empty night is money given away — and so is every night priced too low
Manual pricing loses money in both directions at once: on a weekend when the city is packed and you are still charging the Tuesday rate, and in low season when an ambitious price keeps the calendar empty. AI pricing looks every day at what comparable places near you are asking for that exact date, what they asked in the same week last year, and how full your own calendar already is — then sets each night accordingly. You decide the floor and the ceiling; the rest happens without you.
Three data sources, one rate — recalculated every day
Today’s local rates, not last year’s gut feeling
The system watches what comparable places are asking for that specific date right now — same district, same size, same guest count. If the neighbourhood is already sold out, your rate is too low and it rises; if everything is standing empty, waiting for a miracle costs you the night. You stop opening ten listings every week just to work out whether you are above or below the market.
Your own calendar moves the price
Your booking calendar is the most honest demand signal you have. If next month is filling faster than usual, the rate rises before the last free nights go; if it is filling slower, the price eases early and in small steps instead of in a panic three days out. That way you neither sell peak season cheaply nor sit on principle through a quiet month.
History, season and events in the same calculation
The model knows that July Fridays in your area are worth different money from November Mondays, and that a big concert or a trade fair lifts the whole price level weeks in advance. Historical rates and occupancy give the baseline, the live market gives the correction — and together they produce a rate with numbers behind it rather than somebody’s hunch.
Limits that are never crossed
You set the lowest rate you would accept at all and the highest you do not want to exceed, plus optional separate rules for weekends, long stays and single orphan nights. The automation only moves inside those limits, so a rate you would not approve never appears in your calendar. Every change shows what triggered it.
Last-minute fill without giving away the rate
Three days out, an empty night is worth exactly what someone will still pay for it. The system steps the price down gradually and only on the nights that would otherwise stay empty, while dates further out hold full price. The calendar fills without teaching your guests that waiting until the last minute is always cheaper.
One conference in town and the calendar grows three different rates
Picture a two-room flat in the city centre. It used to have one weekday rate and one weekend rate, because keeping track of more was not realistic. In spring a three-day conference came to town: hotels sold out a month ahead, the flats in neighbouring buildings raised their rates by half, and this one went out at its normal price — three nights that could have earned close to double. With AI pricing it goes differently. A month out the system sees comparable rates jumping and available inventory dropping, and lifts those three nights to the ceiling the owner set themselves. The Monday and Tuesday of the same week stay at the normal rate, because nothing changed there. Two weeks later, in mid-November, a single free night is left between two bookings, and that night alone comes down, because an orphan night never sells at full price. The owner never opened a single listing or spreadsheet — they simply saw in the report that the average nightly rate went up and the number of empty nights went down.
Related solutions
One app for everything
Calendars, rates and bookings in the same platform — with nothing typed in twice.
Automated guest messaging
The booking lands and the guest gets the confirmation and the instructions without you.
API access
Push rates and availability to your own website or another system automatically.
AI pricing — answers
Do I lose control over my own rates?
No. The automation only moves inside limits you set yourself: the lowest rate you would accept at all, the highest you do not want to exceed, and optional separate rules for weekends, holidays, long stays and minimum nights. You can override anything at any moment and lock individual dates, for instance when the place is in your own use or when you know something the market data does not yet know. Every price change shows what drove it — the local rate level, your own occupancy, the season or the approaching date — so you are not asked to trust it blindly. In practice owners lean on the automation hardest where manual tracking was hopeless anyway, and keep hands-on control of the handful of dates that are genuinely special.
Where does the market data come from, and how fresh is it?
From two places. The first is the public price picture in your area: what comparable places are asking for the same dates right now, and how much of that inventory is still free. The second is your own history: what your place has actually gone out for across seasons, and how quickly your calendar normally fills. The market picture refreshes daily, so the rate reacts in weeks rather than seasons. The longer the system watches your property, the more precise it gets, because it learns that property’s own character — one flat always sells weekends, another lives off long business stays. In the first weeks the model leans more on the general local picture and moves in more cautious steps.
How much extra revenue does this actually produce?
The honest answer is that it depends on how well you price manually today. If you run one rate all year, the gain is usually largest and comes from two directions at once: correcting peak season and event weeks upward, and filling low-season nights that would have stayed empty. If you already adjust weekly and watch your neighbours’ listings, the difference is smaller and comes mostly from consistency — the automation never forgets and never goes on holiday. We do not promise a fixed percentage, because that number depends on location, season and property far more than on software. Instead the report shows your average nightly rate and occupancy before and after, so you judge the effect on your numbers rather than ours.
Can the rate change on a booking that is already confirmed?
Never. The price locks at the moment the booking is confirmed and the guest pays exactly the amount they agreed to. The automation only touches dates that are still free. This also means an early booker may have paid less than someone who booked the same week two months later — that is the normal and entirely legitimate side of dynamic pricing, the same as with airline tickets. If you later change your floor or ceiling, that too affects only future bookings. Cancellation and refund rules sit separately from pricing and stay exactly as you described them in your own terms.
Does it work in a small town with few comparable properties?
Yes, but a little differently. In a large city there are hundreds of comparable places and the market signal is strong, so the rate can move more often and more boldly. In a small town there may be a dozen, so the model leans harder on your own history, on seasonality and on how fast your calendar fills, and it moves in smaller steps. In those places the biggest gain usually comes not from peak-season increases but from filling quiet weeks and orphan nights that nobody has time to watch manually. If there is so little data that the automation would not give you an honest result, we say so beforehand rather than afterwards — and then starting from simple season and weekend rules makes more sense.
Let us look at what your calendar is leaving on the table
Send us your location and last year’s occupancy — we will tell you honestly how much room your current rates still have, and which dates are costing you the most.