Hotel Revenue Optimization · Hospitality

Turn booking signals into a revenue action.

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

Start with the commercial or operational choice.

Demand

Where is demand stronger or weaker than expected?

Use booking pace, stay history, seasonality and market context to identify changes early enough to act.

Pricing

Where should pricing attention move?

Compare candidate price or availability actions where the data and operating system support them.

Targeting

Which guest segment or market should receive effort?

Use guest value, propensity and demand gaps to prioritize commercial outreach.

Capacity

Which dates or properties need intervention first?

Rank revenue opportunities by expected consequence rather than producing another static forecast.

From data to decision

Connect demand evidence to the commercial action.

The decision can sit beside existing PMS, CRS or RMS workflows rather than trying to replace them.

01 / SIGNALS

Bookings + pace + context

Use reservations, stays, property, channel, market, pricing, campaign and available demand signals.

02 / FORECAST

Estimate demand or revenue risk

Predict occupancy, bookings, cancellations or other outcome at the level needed for the decision.

03 / OPTIONS

Compare feasible actions

Evaluate pricing, availability, targeting or campaign actions within the commercial rules the property can actually execute.

04 / ACTION

Prioritise the revenue move

Return the property, date, segment or action with expected impact and supporting evidence.

Decision boundary

Forecasting demand and running an RMS are not the same thing.

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.

PREDICT

Where demand is moving

Forecast bookings, occupancy or other commercial outcomes.

COMPARE

Which action is plausible

Evaluate candidate pricing, targeting or availability moves.

DECIDE

Where effort should move

Prioritise the action with the strongest expected business consequence.

Direct answers

Questions buyers ask about this decision.

Does Graphite Note replace a hotel RMS?

No. It can complement an RMS or other hospitality systems by adding models around a specific decision that is not already handled well.

What data can be used?

Typical inputs include reservations, stays, booking pace, property, channel, market, rate, campaign and customer or segment information where available.

Can the model work across multiple properties?

Yes, where the data is consistent enough to compare properties, destinations or segments at the required level.

What comes out?

Outputs can include demand or revenue forecasts, ranked properties or dates, guest or market priorities and recommended commercial actions with expected impact.

Bring the decision, constraints and data you already have.

We will structure the model around the action your team needs to take and the evidence required to support it.