+8.6%
RevPAR growth, against the same period last year
110.4
RevPAR index, ahead of the comp set
+5.0%
Above budget, combined Jan-Feb room revenue
~120/mo
Rate actions taken through Flows
While the hotel sleeps
One night on your book.Nine catches, hour by hour.
By morning it's one list: what happened, what it's worth, and what to do next. A composite night, but every catch is real and every line traces to source.
Book a demo
“It sends me a report every morning: what to hold, when to yield, when to push. If a date is flagged below market, I go straight into my RMS and push the rate.”
Ela Szkamruk
Revenue Manager, Fitzpatrick Castle Hotel
Nothing goes live without you
Every move arrives drafted, with its reasoning.
Approve it, adjust the number, or decline and tell it why. It learns your call either way.
86% sold, +9 rooms in 7 days, ADR -€12 vs last year, and the RMS hasn't moved it.
Approve and it goes to your team, logged with the reasoning behind it.
Your number goes out instead, with the working still attached.
Declining asks why, and it learns your call either way.
What stays yours
Four things that stay yours.
Rates
Every rate move waits for your yes.
Otel hunts, audits, builds the case and drafts the move, then waits. Auto-apply is a switch only you can flip.
Team
Your team keeps the judgment.
The grind goes, the judgment stays. You stop digging and start deciding.
Trust
Every figure shows its working.
Click any figure for the source system, query and timestamp behind it.
Stack
It sits on top of what you already run.
Otel reads the systems you already run as one hotel, and hands the decisions back.
Proof · O'Callaghan Collection
The Alex went from reactive pricing to ~120 rate actions a month.
The biggest ADR gains landed on Wednesdays and Thursdays, the mid-week dates that usually go overlooked.
Read the full case study+8.6%
RevPAR growth
vs. the same period last year
110.4
RevPAR index
outperforming the comp set
+5.0%
Above budget
combined Jan-Feb room revenue
~120/mo
Rate actions
via Flows, every month

“I can't personally check every hotel every day, but Otel AI gives me comfort that I can always see where the opportunities are, where the risks are, and that the team is actually acting on them.”
Joanne McDonnell Group Director of Revenue O'Callaghan Collection
Graded every week
See how often we're right, and when we're not.
A tool that only shows its wins is selling you something.
Every figure is computed, not generated: click it and you get the query and the timestamp. So we can do the one thing a black box never will.
The accuracy, published weekly
Every week Otel publishes the watch's accuracy: the flags your team confirmed, the ones they declined, and the calls it got wrong.
And the misses, shown, not hidden
24 logged · 2 open
Block feed freshness
Opera block feed stopped updating on 14 May. Stale rows passed every check, so two lost groups still read as live pipeline.
Undercut alerts without inventory
Undercut flags fired on dates already sold out. Correct, and useless: there was nothing left to sell.
Two recent examples. The full rolling log lives in the product.
One layer over your stack
It connects to the systems you already run.
Even the ones with no API. Otel reads them all as one hotel, and remembers what it learns.
Direct APIs
Real-time, authenticated and audit-logged wherever your vendors support them.
Computer-use agents
For everything else, Otel connects the way your staff does, by seeing the screen and using the system.
- ISO 27001 certified
- GDPR compliant
- EU-hosted, ring-fenced per hotel
- Never used to train models
One watch across every system
Your systems each watch one thing. Otel watches all of them.
The RMS prices, the rate shopper shops, and nobody connects them. Otel takes that job.
- August 2026 On the books 94% vs 91% STLY +3% Your rate €268 vs €259 compset +€9
- September 2026 On the books 79% vs 83% STLY −4% Your rate €251 vs €246 compset +€5
- October 2026 On the books 62% vs 74% STLY −12% Your rate €245 vs €227 compset +€18
- November 2026 On the books 45% vs 48% STLY −3% Your rate €219 vs €215 compset +€4
- December 2026 On the books 40% vs 37% STLY +3% Your rate €258 vs €249 compset +€9
- January 2027 On the books 14% vs 15% STLY −1% Your rate €189 vs €192 compset −€3
- February 2027 On the books 9% vs 8% STLY +1% Your rate €196 vs €194 compset +€2
- March 2027 On the books 7% vs 8% STLY −1% Your rate €205 vs €201 compset +€4
- April 2027 On the books 6% vs 5% STLY +1% Your rate €224 vs €218 compset +€6
- May 2027 On the books 5% vs 6% STLY −1% Your rate €239 vs €233 compset +€6
- June 2027 On the books 4% vs 3% STLY +1% Your rate €252 vs €244 compset +€8
- July 2027 On the books 3% vs 4% STLY −1% Your rate €271 vs €258 compset +€13
- August 2027 On the books 2% vs 2% STLY 0% Your rate €279 vs €262 compset +€17
Pricing & pacing
- Booking curves on every date, 365 days out, with the underpriced ones flagged and a rate suggested.
Catching what used to slip
Five jobs, one watch, all pointed at the revenue leaving while no one's looking.
Every reservation, audited
- Yesterday's bookings checked line by line: comped rooms, wrong rate codes, suspicious multiples.
Cancellations & no-shows
- Every no-show checked for its charge, and cancellation spikes caught the day they happen.
Groups, watched closely
- Every block tracked on pickup against allocation, including the unrated ones your forecast can't see.
The market & your competitors
- Named competitors on every rate move, and your pickup measured against theirs.
Your context layer
It knows revenue on day one, and your hotel from the first night.
An RMS learns by watching your bookings for a year. Otel reads your history the first night.
Years of craft, built in
Trained on the job beside real revenue directors, never on your data.
Your history, remembered
Reads years of your pacing on night one, and keeps every snapshot after.
Your context, encoded
Your rate codes, segments, comp set, and the renovation that breaks the comparison.
The first answer it gives you already speaks your rate codes and your comp set.
Ask it for more
Anyone on your team can hand it work.

Your team gives it tasks in plain English, and picks where the answer lands.
Run my pickup report at 8am.
Scheduled, commentary written.Alert me on a cancellation spike.
Silence means all clear.Build a pace-by-segment dashboard.
Live in minutes, edited by chat.Who's upgraded to a lodge and not paying for it?
Answered in two minutes.
Delivered to where you work
Outlook
Gmail
WhatsApp
Slack
Teams
Excel
For the whole group
Oversight without another meeting, one hotel or the whole group.
It stays quiet while everything's on budget, so you walk into Monday already across the numbers.
The questions you're already asking.
No. Your RMS prices, Otel watches what it misses: the un-yielded event, the stale restriction, the forgotten floor. No RMS? Then Otel watches your book directly.
Only when you say so. Every move arrives drafted with its reasoning, and auto-apply is a switch you control.
A rented model knows the world. Otel knows your codes, your history and your comp set, with every figure computed by locked queries rather than generated.
You bring one date range that's been bothering you, we connect a read-only view of the systems you already run, and Otel works that window while you watch. You keep the findings either way.
Point them at the watch: the money found, the moves drafted, and a person approving every change. It's an answer a board can trust, because every number shows its source.

