Orian Yield, AI revenue manager
Tomorrow's rate with the reasoning attached, inside guardrails you set, and your manual price always wins.
- Daily demand scoring per date and room type
- Factor chips: pace, pickup, day of week, scarcity
- Event and banquet demand folded in
- Competitor parity as a weighted factor
- + 11 more, all included
Revenue management is the highest-leverage job in a hotel and the one small properties never staff. Orian Yield does the analysis every day: it scores demand for each stay date and room type from occupancy pace, 72-hour pickup, day of week, room-type scarcity, banquet business on the books, last-minute fill and how you are priced against your comp set. Then it recommends a move, and shows the factors behind it as chips with a plain-English explanation, because a price you cannot explain is a price you will not defend to an owner. Guardrails cap it, and a day you priced yourself is never touched.
Prices with the working shown
Every recommendation carries its factors as chips, pace, pickup, day of week, scarcity, competitor parity, and a sentence explaining the call. The AI writes the strategy brief; the numbers themselves are deterministic, so the same inputs always give the same answer.
Guardrails you set
A floor and ceiling as a percentage of base, a maximum move per run, a planning horizon and a posture from conservative to aggressive. The engine works inside your strategy rather than replacing it, and autopilot is a toggle you own.
Your override is final
If you priced a date by hand, Yield skips it, permanently, not until the next run. It also never deletes an override it did not create. The engine works around your decisions instead of arguing with them.
Everything revenue manager does. Not a highlight reel.
The analysis
What goes into a recommendation, per stay date and room type.
- Occupancy paceHow full that date is compared with where it should be by now.
- 72-hour pickupThe recent booking velocity for that date.
- Day of weekThe pattern your own property actually shows.
- Room-type scarcityHow much of that specific type is left.
- Events and banquet paxBusiness on the books that will pull demand with it.
- Competitor parityHow far above or below your comp set's average you sit, as its own weighted factor.
Control and guardrails
The limits inside which it is allowed to move your prices.
- Rate floor and ceilingAs a percentage of the room's base rate.
- Maximum move per runSo a single analysis cannot swing your price wildly.
- Planning horizonHow far forward it looks and recommends.
- PostureConservative, balanced or aggressive.
- Autopilot toggleRecommend only, or apply automatically inside the guardrails.
- Manual-override protectionHuman-priced days are skipped and non-engine overrides are never deleted.
Market and reporting
The context around the decision, and the numbers it moves.
- Competitor comp setCompetitors by category and distance, with per-day lead-in rates and sold-out flags.
- Market distributionMin, max, average, median, your rank and your parity percentage per date.
- Daily flashOccupancy, ADR, RevPAR, arrivals, departures and revenue by category.
- Pace reportBusiness on the books by future stay date, with seven-day pickup.
- SegmentationRoom nights, revenue, ADR and commission by source, segment, company and meal plan.
- Forward forecastOn-the-books plus modelled pickup, bounded so the forecast never falls below what you already hold.
A day with it, in four moves.
It analyses, daily
Every stay date in your horizon is scored per room type, with the comp-set grid folded in as its own factor. Autopilot refreshes this without being asked.
It recommends, with reasons
Each date and type gets a suggested move, the factor chips behind it and a plain-English rationale. The strategy brief for the run is written on top of that.
You decide
Apply one, apply all, or dismiss. Applying writes rate overrides across every sellable room of that type, which push straight out to your channels.
The numbers come back
Flash, pace, segmentation and the forward forecast show what the decision did, on the same data the recommendation used.
This is the real screen.
Demand analysis, the factor chips behind a recommendation, and the ADR and RevPAR trend it moves.
See it with your own roomsWhat happens elsewhere because of this.
Every module reads and writes the same data, so these are not integrations you configure, they are just what the system does.
Channel manager
Applied recommendations become rate overrides that push to every connected OTA and to your own engine.
Channel managerWithBooking engine
Your direct engine prices from the same overrides, so the recommendation reaches your best-margin channel first.
Booking engineWithFinance
ADR, RevPAR, pace and segmentation are computed from real charges and payments, not from a separate reporting copy.
Finance15 things you do not buy separately.
There is no module list to price up and no add-on tier. Every hotel on Orian gets the whole platform.
See what it costs- Daily demand scoring per date and room type
- Factor chips: pace, pickup, day of week, scarcity
- Event and banquet demand folded in
- Competitor parity as a weighted factor
- Plain-English reasoning on every recommendation
- AI-written strategy brief per run
- Rate floor, ceiling and max move per run
- Conservative, balanced or aggressive posture
- Autopilot toggle with guardrails
- Manual overrides never touched
- Competitor comp set with per-day rates
- Market min, max, average, median, rank, parity
- Daily flash, pace and segmentation reports
- Forward occupancy and revenue forecast
- CSV and Excel export on every report
Revenue manager, answered.
Will the AI change my prices without asking?
Only if you turn autopilot on, and even then only inside the floor, ceiling and maximum-move-per-run you set. By default it recommends and waits. Days you priced by hand are skipped either way.
How is this different from a black-box pricing tool?
The score is deterministic, not generated. Each recommendation shows the factors that produced it, pace, pickup, day of week, scarcity, competitor parity, with weights and a plain-English rationale, so you can argue with it on the merits. The language model writes the strategy narrative, not the numbers.
Where do competitor rates come from?
You define a comp set by category and distance, and rates are stored per competitor per date with sold-out flags. There is a simulator for demonstration, and the same interface accepts a real rate feed, so the parity factor works the same way once one is connected.
What happens if I disagree with a recommendation?
Dismiss it, or price the date yourself. A manually priced day is permanently off-limits to the engine, and Yield never deletes an override it did not create, so your decision stands without you having to keep defending it.
Something else on your mind? Ask us directly , a person answers.
Keep going
Edit one rate and it lands on every OTA. One inventory, two-way sync, and a log that proves each push happened.
Read moreCommission-free bookings on your own site, priced from real inventory, and bookable by a guest's own AI assistant.
Read moreOne folio per stay, PCI-safe cards, a city ledger that ages properly, and a GL export that always balances.
Read moreSee revenue manager running your hotel.
We load your rooms, your rates and your channels before the call, so the demo is your property, not a sandbox with someone else's data in it.
Oriantec · No card · No lock-in · Live in about a week