Measured results

Numbers first. Names on request.

Every figure on this page is a real client outcome, measured against a baseline agreed in writing before the deployment began, and anonymized because chains don't publish labor costs under their flag. Illustrative numbers, where we use them elsewhere, are always labeled "worked example". Here: only measured results.

How we measure

Baseline → optimize → same report, both sides

Baseline in writing

Trailing labor CPOR, overtime, schedule-build time and service coverage, agreed before anything changes.

Go live on one property

Two departments live on demand-matched rosters; managers approve every schedule. How HotelCadence works →

Monthly measurement

The same numbers, against the same baseline, delivered to your side and ours. If the saving is not there, you see that too.

Questions prospects ask about these numbers

Why are the properties anonymized?

Hotel chains seldom allow labor-cost numbers to be published under their flag, because cost structure is a competitive secret. We publish the numbers and the method instead, and clients will speak to serious prospects in reference calls.

How is the baseline set?

Before go-live we agree, in writing, the trailing period and metrics: labor cost per occupied room, overtime hours, schedule-build time and service coverage. Results are the delta against that baseline, adjusted for season where relevant, the same report goes to both sides.

What if the saving is not there?

Then the monthly report says so, and you keep it. There is no long-term contract, so a negative answer costs a known amount, that is the deal that makes the positive numbers credible.

Are these results typical?

They sit inside the published ranges for demand-matched scheduling: 6-8% of labor cost (Unifocus, conservative) to 10-20% (Gartner). Your number depends on how far your current roster is from the demand curve, the hotel labor savings calculator gives a first estimate in two minutes.