A rate by date and channel, calculated from your bookings, not from occupancy in the area. And every guest who was looking for you, booking on your site.
Book a demoExample
Hotel Puerto Mar
Revenue today
Direct share this month: 47%Proposed rate
Sat Sep 19 · Standard double
172 €+8%
Reason: 14 new bookings in 24 h for that weekend
Parity
Booking is 7.4% lower on mobile
Action: Metasearch bid paused
Recovered today
6 bookings from the abandoned-booking email
Forecast occupancy · next 8 weeks
For groups of 5 to 30 hotels, city and resort, with their own PMS or the chain's.
They found you on Google, compared your dates and landed on your site. They booked on an OTA, and you paid 15 to 25% for a customer who was already yours.
PMS
The guest history is there, but nobody uses it to sell.
Booking engine
You know who dropped the booking, but nobody writes to them.
OTA extranets
Rates set by hand, channel by channel.
Market RMS
It watches occupancy in the area, not your bookings.
Metasearch
You bid against your own price when the OTA undercuts you on mobile.
Marketing agency
It optimizes campaigns without seeing your bookings.
Groups and events
Leads answered late, with no idea if price is the problem.
Reviews
You notice the pattern after the score has already dropped.
Eight systems, one guest. One decision on price and channel.
01
Every day it collects the last 24 hours of bookings and competitor rates, recalculates the 8-week forecast and proposes a rate by date and channel. The revenue manager approves it with one click.
02
If your direct price wins, metasearch shows the savings. If the OTA undercuts you on mobile, the bid pauses on its own. And the budget concentrates on people most likely to book.
03
Anyone who drops a booking gets your email within two hours. Anyone who searched dates with no availability gets an alert when a room opens. And the conference that has already picked your city jumps to the front of the queue, with price cues for the salesperson.
You
Which October nights are below 60% occupancy at the coastal hotels?
Reply
There are 9 nights across 3 hotels. I propose an offer by email and WhatsApp only to guests who stayed in the fall the last two years, without touching the public rate. Should I prepare it?
01
Collect
The last 24 hours of bookings, competitor rates and searches on your site.
02
Forecast
Occupancy for the next 8 weeks, by hotel and room type.
03
Propose
A rate by date and channel, with the reason in view.
04
Approve
The revenue manager, with one click. Nothing publishes on its own.
05
Distribute
OTAs, metasearch, your site and your emails, on the same data.
06
Learn
The result recalibrates which dates can take a raise.
The AI sets the price, flags it and gets it ready. A person handles the guest. A returning guest arrives and the front desk already knows their floor, their bed and what time they usually check in. In the restaurant, the waiter knows the usual order before they ask: that is already how it works at a five-star in Spain.
| Criterion | Market RMS | Agency and OTAs | Performanze |
|---|---|---|---|
| Rate calculated from your bookings | From occupancy in the area | No | From your daily bookings and your history |
| Parity and metasearch bidding | No | By hand | Automatic: it pauses if the OTA undercuts you |
| Abandoned bookings recovered | No | Depends on the agency | Included, by email |
| Works with the chain PMS and website | Yes | Yes | Yes, without touching either one |
Market RMS
From occupancy in the area
Agency and OTAs
No
Performanze
From your daily bookings and your history
Market RMS
No
Agency and OTAs
By hand
Performanze
Automatic: it pauses if the OTA undercuts you
Market RMS
No
Agency and OTAs
Depends on the agency
Performanze
Included, by email
Market RMS
Yes
Agency and OTAs
Yes
Performanze
Yes, without touching either one
No. We take a daily copy of your bookings and work on that. Your PMS and your booking engine stay as they are, even if they belong to the chain.
It can live alongside it or replace it; you decide. The difference is that it learns from your bookings, not from occupancy in the area.
No. It proposes and the revenue manager approves. At first it runs in shadow mode: it proposes without publishing, so you can compare with what you would have done.
No. The public rate is respected. Special offers go through private channels, such as email or WhatsApp.
No. The AI works behind the desk. A phone booking, a group or a complaint is still handled by a person.
Yes. We start from what already works at other hotels and fit it to your properties, your channels and your systems.
Our way of building custom software: your tool, on a base already proven in your industry. See Selfware.
It depends on how many hotels and systems we need to connect. We start with a pilot hotel and in the demo we give you a timeline and a price range.
You tell us your channel mix and what you pay OTAs today.
We show you the revenue panel with a case like yours.
We give you a timeline and a price range, with no commitment.
