🔥 New · RM Copilot 2.0 - Voice mode is live
Your AI revenue management assistant analyzes pickup, watches your comp set, simulates scenarios, and executes rate changes - 24/7, on autopilot, with full guardrails. Hotels using RM Copilot saw +13.7% RevPAR lift in 10 days when tested head-to-head against experienced human revenue managers.
+0.0%
RevPAR lift in 10 days
vs human RMs head-to-head
0+
Properties per RM
with Copilot triage and execute
0%
Of RM work automated
out of the weekly calendar
RM Copilot
What should I price Saturday at?
Recommend +$14 ADR ($229 → $243). Pickup is +18% vs forecast. Hyatt Regency dropped 9% but you have stronger reviews. Want me to push it live?
Show me projected impact.
✓ Try the What-If Simulator to compare pricing scenarios, projected revenue impact, occupancy shifts, and competitive positioning before making a decision.
Live scenarios
Pick a scenario. Watch RM Copilot work - exactly the way it would on your property. No demo gimmicks. Just live AI revenue management.
Live scenario
Saturday pickup is +18% vs forecast. Copilot identifies the surge, models the rate impact, suggests +$14 ADR, and (with one click) pushes it live across all channels.
Pickup anomaly detected
+18% vs forecast on Saturday
Comp set checked
Stable · no rate moves in 4 hrs
Rate impact modeled
+$14 ADR · projected +$2,840
Pushed live across channels
PMS, CRS, Booking, Expedia · 8 sec
The hidden cost
The average revenue manager spends 70% of their week on data work - pulling reports, reconciling spreadsheets, watching the comp set, building forecasts. That leaves 30% for the work that actually moves revenue: strategy, segment planning, and competitive response. RM Copilot flips that ratio.
Pulling reports, building spreadsheets, manually checking comp set rates. Skilled revenue managers reduced to data analysts.
Source: Hospitality industry benchmarks + RevEvolve customer interviews
If 70% of an RM's $85K salary goes to data work, you're paying $59,500/year for a human spreadsheet .
Source: Glassdoor / Hcareers RM salary data, US 2025
Manual workflows cap how many hotels one RM can run. Hotels with RM Copilot manage 22+ - without burning out their team.
Source: STR / HSMAI workforce surveys
RM Copilot doesn't replace your revenue manager. It gives them their job back.
Calculate How Much Time RM Copilot Saves YouHow it works
Most “AI” in hotel revenue management is really just analytics with a chat interface. RM Copilot is different. It's a true AI revenue management assistant - built on four pillars that work together as one closed loop.
RM Copilot continuously reviews bookings, pickup trends, comp set movement, and pace vs forecast - surfacing what changed, why it matters, and where revenue opportunities may exist in plain English.
Most platforms surface dashboards and raw data. RM Copilot translates property signals into clear operational insights and recommendations.
Specific pricing recommendations with reasoning - not vague alerts. Example:Move Saturday from $229 → $243. Pickup is +18%, comp set stable, projected weekend uplift +$2,840.”
Many revenue platforms generate pricing suggestions without transparent business context. RM Copilot explains the reasoning behind every recommendation.
Test pricing decisions before taking action. RM Copilot’s What-If Simulator helps compare scenarios, forecast revenue impact, evaluate occupancy changes, and understand competitive positioning before making updates.
Most systems stop at recommendations. RM Copilot helps teams evaluate outcomes and make more confident revenue decisions.
RM Copilot adapts to your property workflows over time. As teams review recommendations and pricing decisions, the system continuously improves context, prioritization, and operational relevance.
Traditional systems rely heavily on static rules and manual workflows. RM Copilot evolves alongside your property's operating patterns.
One revenue workflow. Built around your property’s data.
What disappears
Forget vague “productivity gains.” These are specific, measurable tasks RM Copilot takes off your team's plate - every single week.
Every-day grind, gone.
Reports that ship themselves.
What RM Copilot does NOT do: Long-term commercial strategy, owner relationships, contract negotiations, brand positioning. Those stay with your humans - where they belong.
Trust & safety
Worried about handing rate decisions to AI? You shouldn't be - because RM Copilot operates inside guardrails you set. Three modes. You choose how much autonomy. You can change it any day.
Copilot delivers daily recommendations with reasoning. Your team reviews on their schedule and applies the ones that make sense through your existing channel workflow.
Best for: hotels new to AI revenue management.
Copilot recommends pricing actions with scenario analysis. Your team reviews and manually applies decisions.
Best for: most hotels - fastest workflow with full visibility.
Copilot acts within guardrails (max % rate moves, blackout dates, segment limits). Your team reviews summaries.
Best for: multi-property portfolios.
Six controls that ship on day one.
Max rate move limits
Set per-segment, per-season floor and ceiling rates. Copilot's recommendations stay inside the boundaries you define from day one.
Blackout dates
Special events, owner stays, contracted rates locked.
Segment locks
Choose which segments, room types, or date ranges Copilot makes recommendations on. Exclude corporate negotiated or any segment entirely.
Full audit trail
Every decision logged with reasoning - who, when, why.
Instant rollback
Every recommendation logged with the signals and reasoning behind it. Re-open any past day to see what Copilot suggested and what your team decided.
Manual override
SOC 2 Type II certified. GDPR compliant. Your PMS data stays in your environment - never shared with industry aggregators or other properties.
Head-to-head proof
Over a 10-day controlled test, we ran RM Copilot against experienced human revenue managers on matched properties - same comp set, same demand patterns, same starting metrics. We let both work the same data, the same time window, the same rules of engagement. Then we compared RevPAR.
| Metric | Human RMs | RM Copilot |
|---|---|---|
| RevPAR lift | +4.2% | +13.7% |
| Rate decisions per day | 8 – 12 | 47 |
| Time to react to comp set move | 4 – 18 hours | 15 minutes |
| Pickup anomalies caught | 62% | 94% |
| Hours per property per week | 12 – 18 hrs | 0.5 hrs (review only) |
Bottom line: RM Copilot delivered 3.3× the RevPAR lift of experienced human RMs - while spending 96% less time per property.
The gap isn't AI replacing humans. It's AI scaling humans.
Built for
RM Copilot adapts to how your team works - whether you're a lean independent property or a 200-property management company.
No dedicated RM? Copilot becomes one - without the $85K salary.
See Independent HotelsStandardize revenue strategy across every property. One Copilot, one playbook.
See Hotel ChainsManage 10+ properties per RM. Scale your portfolio without scaling headcount.
See Asset ManagersPremium pricing intelligence. Personalized to your unique guest mix.
See Boutique HotelsCategorically different
The hotel revenue management space is full of platforms calling themselves “AI-powered.” Most are dashboards with a chat box. Here's how RM Copilot actually compares - line by line, capability by capability.
| Capability | RevEvolve RM Copilot | Lighthouse | IDeaS | Duetto | Atomize |
|---|---|---|---|---|---|
| AI demand forecasting | |||||
| Rate recommendations | |||||
| Conversational AI interface (facing) | RM Copilot | Connect AI* | |||
| AI executes rate changes (closes the loop) | |||||
| AI explains its reasoning in plain English | Partial | Black box | Partial | Partial | |
| AI learns from your team's overrides | Quarterly retrain | Quarterly retrain | Quarterly retrain | ||
| Properties manageable per RM | 22+ | 5 – 8 | 5 – 10 | 5 – 10 | 5 – 8 |
| Setup time | Days | Weeks | 3 – 6 mo | Months | Weeks |
Lighthouse Connect AI is a guest-facing chatbot for booking queries via ChatGPT - not an facing revenue manager. KITT is a guest-facing voice receptionist. Neither is comparable to RM Copilot's category.
14-day deployment
Most AI revenue management platforms take a quarter to deploy. RM Copilot is built to start lifting RevPAR by your second week.
RevEvolve connects to your PMS, CRS, and channel manager. RM Copilot pulls 24 months of historical data automatically - bookings, rates, occupancy, segments, channels.
RM Copilot learns your property's demand patterns, seasonality, comp set dynamics, and booking windows. By day 5, it has a forecast that matches or beats your existing one.
Copilot starts surfacing pricing recommendations daily - your team approves and pushes manually. You see exactly how Copilot thinks. You build trust.
Once your team is comfortable, switch Copilot into Co-Pilot or Autonomous mode. Most properties see measurable RevPAR lift starting day 10. Full audit trail at every step.
Customer voices
Real customers. Real results. Verified by the properties named below.
I used to spend Mondays buried in pace reports. Now Copilot has them ready before my coffee. I get to actually do strategy.
RM Copilot helped our team move from reactive pricing to proactive strategy. We finally have clear recommendations with the context behind every decision.
We standardized 47 hotels on Copilot. Variance dropped 50%. Our RMs went from 5 properties each to 18. Copilot is the leverage.
FAQ
Eight straight answers - to the eight questions every buyer asks before they sign.
Still have questions? Talk to our team →
RM Copilot is the only AI revenue management assistant that doesn't just send you insights - it acts on them. While your competitors are still reading reports, you're already +13.7% ahead.
