Know what to charge. Every single day.
Big chains employ revenue managers and six-figure software to price every night. RevMan gives you the same decisions, a rate for tomorrow, a reason you can check, and a forecast you can plan against.
6
demand signals fused
90 days
of daily forecast
Daily
rate recommendations
Free
to get started
One message. One decision. Every morning.
RevMan analyzes demand, competitors, weather, and booking pace overnight — then distills it into the single most impactful pricing action for your property today. You decide whether to apply it. The system never changes anything without your approval.
- The one rate to change — which room type, which date, what number
- Why demand shifted — the specific signals that triggered the recommendation
- Where competitors are priced — so you can see the market context
- How much revenue is at stake — the dollar value of acting vs. not acting
This replaces the guesswork of “should I change my rates today?” with a clear, data-backed answer every single morning.
RevMan
Today, 7:00 AM
Good morning — demand index 78/100 (high)
Raise Deluxe to $189 for Sat 14 Mar (currently $164, +15%).
Why: city-wide conference, clear weather, and your two closest competitors are already at $195–$210. Booking pace is 22% ahead of the same point last month.
Worth roughly $1,050 across the night.
Illustrative example
Six decisions. Every day. Done better.
Running a hotel means making the same revenue decisions repeatedly — usually with incomplete information. Here's what RevMan makes easier:
What should I charge tonight?
The pricing engine analyzes your current occupancy, demand signals, competitor rates, and day-of-week patterns to recommend an exact rate — with the reasoning shown so you can verify it makes sense.
→ Pricing Engine
Is next week going to be busy?
The demand index combines search interest, events, weather, booking pace, and seasonality into a forward-looking score. When it rises, you raise rates early. When it drops, you launch promotions before it's too late.
→ Demand Intelligence
Am I leaving money on the table?
Competitor tracking shows you where you sit versus the market. If competitors are at $210 and you're at $165 on a high-demand night, you're leaving $45 per room on the table. RevMan flags this automatically.
→ Competitor Tracking + Pricing Engine
When should I run a promotion?
The 90-day forecast identifies your soft periods weeks in advance. You can target OTA promotions or group sales at the exact dates that need filling, instead of reacting when rooms are already empty.
→ Forecast + Demand Intelligence
Can I commit to that group block?
The forecast shows projected occupancy for every upcoming date. If a group wants 15 rooms for a Tuesday-Thursday that's already trending toward 80% occupancy, you know to hold firm on rate. If it's a soft period, you know you can offer a discount.
→ 90-Day Forecast
Why did revenue drop last month?
The copilot lets you ask this in plain language and get an instant breakdown: was it occupancy, ADR, a specific segment, or a channel shift? No spreadsheets, no report-building — just the answer.
→ Revenue Copilot
Every tool maps to a decision you make every day
Each capability exists for one reason: to help you make a better pricing or planning decision with less effort and more confidence.
Demand intelligence
We track six signals — Google search interest, local events, weather forecasts, your booking pace, competitor rate movements, and seasonal patterns — and fuse them into a single demand score (0–100) updated daily.
Decision it answers:
“Should I raise or lower rates this week?”
Without this, you're pricing based on yesterday's occupancy. With it, you see demand building 7–14 days before check-in and raise rates while rooms are still available.
AI pricing engine
An XGBoost machine-learning model analyzes your booking history, demand signals, and competitor positioning to recommend an optimal rate for every room type on every upcoming night — with an explanation of what drove the number.
Decision it answers:
“What should I charge for each room type tonight and this weekend?”
Manual pricing leaves money on the table during high-demand periods and fails to fill rooms during soft ones. The engine catches both — and tells you exactly why it's suggesting a change so you can trust or override it.
Competitor rate tracking
Automated daily rate checks on 3–5 hotels you actually compete with, scraped from Google Hotels. You see their live pricing for every upcoming night alongside your own.
Decision it answers:
“Am I priced above or below my competitive set — and should I adjust?”
Knowing where you sit in the market prevents two costly mistakes: pricing too low when competitors are already higher (lost revenue), and pricing too high when the market has dropped (lost bookings).
Morning WhatsApp briefing
Every day at 7 AM, a WhatsApp message tells you: the one rate to change, which date it's for, why demand moved, and how much revenue the move is worth. No login needed.
Decision it answers:
“What's the single most important pricing action I should take today?”
Most owners don't have time to open a dashboard every morning. This puts the decision in your pocket at the exact moment you need it — before the day's bookings start arriving.
90-day revenue forecast
Projects occupancy, ADR, and total revenue for the next 90 days — daily granularity for every date, with events, holidays, and weather patterns built in. Shows you exactly which dates are strong (hold rates) and which are soft (promote or accept groups).
Decision it answers:
“When are my soft periods? Can I commit to that group block? When should I schedule maintenance?”
Without a forward view, you can't plan group-rate commitments, staffing levels, or renovation timing. The forecast turns guessing into planning with numbers you can act on — but only for the horizon that's actually reliable.
Revenue copilot
Ask questions in plain English — "which nights should I raise rates?", "how did last month compare to the year before?", "what's driving demand this weekend?" — and get answers computed from your live data in seconds.
Decision it answers:
“Any question about your revenue data — answered instantly, no reports to pull.”
Revenue questions used to require pulling reports and doing mental math. The copilot gives you instant answers from your own numbers, so you can make quick decisions during a call or meeting without digging through spreadsheets.
Up and running in three steps
No integration project. No implementation fee. No training course.
Add your property (2 minutes)
Name, location, room types and rates. RevMan immediately generates a complete working dashboard using market-modelled data for your city and property type, so you can explore every feature before uploading anything. This means you start seeing demand patterns, competitor context, and pricing logic from minute one.
Pick your competitors, upload your history
RevMan discovers nearby hotels automatically — you choose 3–5 you actually compete with. Rate tracking starts immediately. When you drop in a CSV of past bookings from your PMS, the pricing model retrains on your real demand patterns. More history means more accurate predictions, but the system works from day one.
Act on the daily recommendation
Each morning you get the one rate to change, the date it applies to, why demand shifted, and how much revenue is at stake. Apply it in your PMS or OTA extranet, or export the full rate grid as CSV. You stay in control — the system never changes anything without your approval, and every suggestion comes with its reasoning so you can sanity-check it.
Simple pricing
Try everything free for 15 days. No credit card required.
RevMan — Full access
$39/mo
₹2,999/mo for India · per property
15 days free
No card needed to start
After 15 days: $39/mo (US) or ₹2,999/mo (India) · cancel any time · no contracts
Managing multiple properties? Email us and we'll sort you out.
Questions owners actually ask
Do I need to integrate my PMS to use this?
No. RevMan works standalone — you upload booking history as a CSV whenever you want to refresh it, and apply recommended rates in whatever system you already use. That means there's no IT project and no vendor dependency to get started. You keep full control of when and where you apply the recommendations. Direct PMS integrations are on our roadmap for properties that want rates pushed automatically.
I only have a few months of booking data. Will this work?
Yes. The pricing model works in three tiers: with very little history it uses market structure, seasonality, and competitor rates to give you a solid starting point; from about 30 bookings it starts learning your property's own patterns; past 90 bookings it runs the full model with per-recommendation explanations and SHAP breakdowns. You see recommendations from day one — they just get more precise as data accumulates.
How is this different from just watching my competitors?
Competitor rates are one of six signals, and on their own they're a lagging indicator — if everyone matches everyone, the whole market drifts down. RevMan also reads forward-looking demand: local events, Google search interest, weather forecasts, and your own booking pace. This means you can raise rates before the market does (when demand is building) and drop them strategically before rooms go empty (when demand is softening). You're leading, not following.
Will it change my rates without asking me?
Never. RevMan recommends; you decide. Every suggestion comes with its reasoning (SHAP breakdown), a confidence percentage, and the revenue at stake. You can set hard floors and ceilings that the engine won't cross. Think of it as a very well-informed assistant who always explains their thinking — you make the final call.
What does the starter data mean — is my dashboard showing fake numbers?
New accounts are seeded with modelled data so you can evaluate every feature immediately — the dashboard, pricing engine, copilot, and forecasts all work. It's labelled clearly wherever it appears. The moment you upload your own booking history, your real numbers replace it. The demo accounts (Asheville, Louisville) show what it looks like with 12 months of rich, market-calibrated history.
How much revenue should I expect to gain?
We won't quote a number we can't stand behind — it depends on your market, how much pricing headroom you have, and how consistently you act on recommendations. What we do show you is the specific revenue at stake in each recommendation (e.g., '$1,050 across tonight if you raise to $189'). Most properties in our pilot saw 8–15% RevPAR improvement within the first 60 days of consistently applying recommendations.
How does the demand index actually work?
Six independent signals are each scored 0–100: Google search interest for your market, upcoming local events, weather forecasts (clear weather lifts leisure demand), your booking pace vs. same period last year, competitor rate movements, and seasonal patterns. These are weighted and combined into one composite score. A score above 70 means 'raise rates now' — below 40 means 'run a promotion or accept group business'. The confidence level tells you how reliable the signal is.
Stop pricing on gut feel.
Set up your property in two minutes and see your first recommendations today — no card, no sales call.