Where is demand stronger or weaker than expected?
Use booking pace, stay history, seasonality and market context to identify changes early enough to act.
Hotel Revenue Optimization · Hospitality
Use booking pace, demand forecasts, property context and commercial constraints to decide where pricing, availability, targeting or campaign effort should change.
Questions this decision model answers
Use booking pace, stay history, seasonality and market context to identify changes early enough to act.
Compare candidate price or availability actions where the data and operating system support them.
Use guest value, propensity and demand gaps to prioritize commercial outreach.
Rank revenue opportunities by expected consequence rather than producing another static forecast.
From data to decision
The decision can sit beside existing PMS, CRS or RMS workflows rather than trying to replace them.
Use reservations, stays, property, channel, market, pricing, campaign and available demand signals.
Predict occupancy, bookings, cancellations or other outcome at the level needed for the decision.
Evaluate pricing, availability, targeting or campaign actions within the commercial rules the property can actually execute.
Return the property, date, segment or action with expected impact and supporting evidence.
Decision boundary
A demand forecast can identify where revenue risk or opportunity is emerging. The next step is to choose the intervention. Graphite Note can support that specific decision layer while complementing existing PMS, CRS and revenue-management systems.
Forecast bookings, occupancy or other commercial outcomes.
Evaluate candidate pricing, targeting or availability moves.
Prioritise the action with the strongest expected business consequence.
Related decision problems
Direct answers
No. It can complement an RMS or other hospitality systems by adding models around a specific decision that is not already handled well.
Typical inputs include reservations, stays, booking pace, property, channel, market, rate, campaign and customer or segment information where available.
Yes, where the data is consistent enough to compare properties, destinations or segments at the required level.
Outputs can include demand or revenue forecasts, ranked properties or dates, guest or market priorities and recommended commercial actions with expected impact.
We will structure the model around the action your team needs to take and the evidence required to support it.