01
Pricing engine
Decides what rate makes sense
It reconstructs booking curves, estimates demand with uncertainty, evaluates candidate prices, and produces a recommendation with evidence and confidence.
Product
Revenue management that works alongside the hotel team.
Built for owners, general managers, and lean commercial teams.
The operational reality
Revenue management is still a daily operating task.
Independent hotel teams often manage room pricing while running the rest of the operation. They must find the important dates, understand what changed, make a decision, publish it, and check the result across every property.
The portfolio never stops moving
Booking pace, cancellations, remaining rooms, market demand, and local events change every day across hundreds of future stay dates.
The important context is scattered
The answer is split across PMS data, market signals, property knowledge, spreadsheets, and the judgment of individual managers.
Every action needs follow through
After choosing a rate, someone still has to publish it, confirm the PMS accepted it, record the decision, and measure what happened next.
The AI revenue manager
Software that does the revenue work with you.
RealM combines a mathematical pricing engine with an AI Operator Agent. One calculates the right decision. The other keeps the complete operating workflow moving across the portfolio.
02
Operator Agent
Handles the daily workflow
It answers questions, explains recommendations, changes strategy settings, requests approval, carries out authorized actions, confirms the PMS response, and reports the result.
03
Strategy Agent
Investigates the context models can miss
This planned layer will research events, competitor moves, unusual booking patterns, property knowledge, and previous decisions, then send structured signals back to the pricing engine.
The governing principle
The AI never invents a room price and never bypasses hotel policy. The pricing engine produces the recommendation. The policy layer decides what is allowed. The agent explains, coordinates, and acts.
The destination
RealM is being built to handle most daily revenue management with minimal intervention, so hotel teams can focus on the exceptions that genuinely need human judgment.
See what needs attention first
Pricing decisions usually land on the same people running the property. The platform surfaces only the dates and rooms that need attention, with the reasoning attached.
How it works
Four steps from a new signal to a completed action.
- 01
Watch the portfolio
RealM continuously reads the hotel information required to understand booking pace, remaining rooms, rates, cancellations, and property settings.
- 02
Investigate the change
It compares current performance with history and the available market context to understand why demand may be changing.
- 03
Decide through the engine
The forecasting and pricing engine evaluates candidate prices, uncertainty, expected value, and hotel constraints before producing a recommendation.
- 04
Act through the agent
The agent explains the decision, requests approval when required, carries out permitted actions, and confirms the PMS accepted them.
Data flow
Hotel PMS
Market Context
Pricing Engine
Policy Controls
AI Operator Agent
Authorized Action
The AI agent does not invent room prices. A dedicated forecasting and optimization engine produces each recommendation. The policy layer decides what is allowed. The agent explains the decision, coordinates approval, and executes only the actions your hotel permits.
Inside the agent workflow
Answer questions in plain language
Ask which properties are underpriced, why a date changed, or how the next month compares with last year and receive a direct answer grounded in hotel data.
Surface the exceptions that matter
The agent ranks high impact opportunities, unusual demand, uncertain recommendations, and data problems so the team does not have to scan every date.
Explain every recommendation
See the current rate, proposed rate, expected impact, forecast uncertainty, supporting signals, and every policy rule that was applied.
Change hotel strategy settings
Tell the agent to adjust a ceiling, protect a date, change an approval threshold, or update another permitted strategy setting through a clear conversation.
Carry out authorized actions
The agent can request approval or execute an action that already falls inside the hotel rules, then send the structured update to the PMS.
Close the operating loop
After an action, the agent checks the PMS response, reports success or failure, preserves the audit record, and follows the outcome over time.
Two product experiences
Simple for operators. Detailed for revenue experts.
- Agent experience for owners and operators
- Expert workspace for revenue specialists
- Portfolio exception feed
- Booking curves and pickup analysis
- Demand forecasts with uncertainty
- Candidate price evaluation
- Market compression and event context
- Property strategy controls
- Approval workflows
- Recommendation explanations
- Complete audit history
- PMS action confirmation
See how the agent would work across your properties.
We are working with a small group of hotel operators to build and validate RealM in real operating conditions. Tell us how revenue management works across your properties today.
Join the Early Beta