Revenue Management Built for Cloudbeds Properties
Twice-daily AI repricing · 9 signals · you approve, override, or lock any date. Omnimetric is a revenue management system built for Cloudbeds properties — it reads your PMS data, prices every room, and pushes rates back to your channels, while you keep full control.
How Omnimetric connects to Cloudbeds
Omnimetric plugs directly into Cloudbeds and treats your PMS as the source of truth. Twice a day it pulls every reservation, room type, rate and revenue figure out of Cloudbeds, recomputes the right price for each room-night, and — once you approve — pushes the new rates back through Cloudbeds to the channels you sell on. Nobody re-keys anything.
What flows in
Occupancy and availability by room type, booking lead time, booking pace (how fast the next nights are filling), channel mix, and your rate history. That live picture is what the pricing engine reasons over — not an industry average, but how your property is actually booking right now.
What flows back out
Approved rates return to Cloudbeds and out to your channels on the same twice-daily cycle, with a re-check after booking changes. You see the recommended move, the reasoning, and the push status for every date before anything goes live.
Because Cloudbeds stays the source of truth, nothing about your existing setup has to change: the same channel connections, room types and rate plans you already run keep working, and Omnimetric reads and writes through them rather than around them. There is no second calendar to maintain and no re-keying — you approve a move in Omnimetric, and it is Cloudbeds that carries the new rate out to your channels, exactly as it does today. If you ever pause the autopilot, your rates simply stay where Cloudbeds last had them; the integration adds a pricing brain on top of your PMS without taking anything away from it.
The 9 signals behind every price
Each price is the sum of nine live signals. Some come straight from your Cloudbeds data; others are collected for you automatically.
Occupancy
How full each room type is for the night, read from Cloudbeds availability.
Lead time
How far ahead the booking is landing, from your Cloudbeds reservation dates.
Booking pace
How fast the next nights are filling versus normal, computed from Cloudbeds bookings.
Competitor rates
Eight competitors swept twice a day, 28 days ahead, currency-normalized — collected externally.
Season
High, shoulder and low-season demand patterns from your own history.
Day of week
Weekday vs weekend demand curves per room type.
Events
High-demand dates flagged months ahead so premium nights are never sold cheap.
Channel mix
Which channels are driving the night, from Cloudbeds reservation sources.
Last year
The same date a year ago, as a demand anchor.
You stay in control
Every recommendation shows its work: the signals that moved the number, and by how much. You can approve it, override it, or lock a date so the autopilot leaves it alone. Circuit breakers cap how far any price can move on its own, and an audit log records who changed what and when. The engine has been evaluated against 66,365 of its own past decisions, and it retrains weekly on your bookings. Discipline is the product — when a date should not be premium, it walks the price back down.
That control is what makes an autopilot safe to leave running on a live Cloudbeds calendar. You are never handing the keys to a model you cannot question: every rate that goes back into Cloudbeds carries the reasoning that produced it, you can lock any date the moment you know something the market does not, and the circuit breakers mean a bad signal can never swing a price further than you have allowed. The engine proposes and explains; you decide what actually reaches your channels.
How Omnimetric compares to other Cloudbeds RMS options
Cloudbeds lists several revenue tools as integration partners. They are strong at pricing. What none of them do is connect the room price to the two other numbers that decide whether the month was profitable — payroll and the net-profit P&L. Here is an honest, dated comparison.
| Capability | Omnimetric | Pricing-only RMS partners |
|---|---|---|
| Prices rooms on live signals | Yes | Yes |
| Pushes rates via Cloudbeds | Yes | Yes |
| Reasoning shown per price | Yes | Varies |
| Live net-profit P&L (after OTA commission + tax) | Yes | No |
| Profit-gated staff bonuses | Yes | No |
| Indonesian labor-law HR documents | Yes | No |
| Per-room energy monitoring | Yes | No |
| IDR / QRIS support | Yes | — |
| Built for 5–30-room properties | Yes | Varies |
Partner tools referenced include RoomPriceGenie, PriceLabs, Atomize, Pricepoint and Cloudbeds' own Revenue Intelligence. Feature rows describe scope, not quality; "—" means we could not verify a public source as of July 2026. See the full RoomPriceGenie alternative comparison. Omnimetric is not affiliated with Cloudbeds beyond the integration.
Beyond pricing — what the rest of the platform does
Profit-gated staff pay
Bonuses unlock only when the property actually profits — computed from the same net-profit numbers that set your prices.
How staff pay worksLive net-profit P&L
A continuous P&L after real OTA commissions and tax, so you know if you made money in two minutes, not at month-end.
See the proofPower Warden — live
Per-room AC and power monitored minute by minute, controllable from your phone — the biggest silent cost, watched.
See it on the homepageIf you run a small Cloudbeds property, start with the category overview for revenue management software for small hotels, or, if you operate in Indonesia, see hotel revenue management in Bali.
Frequently asked questions
Does Omnimetric work with Cloudbeds?
How often are rates updated?
Can I override the AI?
Do I need a revenue manager?
What size property is this for?
See it run on your Cloudbeds data
Bring last month's occupancy and we'll show you what the engine would have done with it — a walkthrough of the pricing autopilot, the owner dashboard, and the staff-pay engine.
Request a demo