What does gut-feel scheduling cost your hotel?
Step by step: your property basics (rooms across all properties you schedule, occupancy, market), then six quick questions, then your estimate — no email needed. It builds in two layers: admin time saved is the base (roster-building hours your managers get back, near-certain for every property), and frontline productivity comes on top (the published 6-12% scheduling range, scaled to how mature your planning already is).
Your properties
One hotel? Enter its room count. A group or chain? Add up the rooms of every property you schedule — the estimate covers the whole portfolio.
Questions your finance team will ask
How does this hotel labor savings calculator work?
Three property inputs size your labor line (total rooms across all properties you schedule, average occupancy and a market-typical ADR, with the CBRE benchmark of 32.4% of revenue going to labor), and six quick questions score your scheduling maturity from 0 to 18. The estimate then builds in two layers: admin time saved is the base, and frontline productivity is added on top, scaled to how much of the published 6-12% range your maturity score says is still available.
Why is admin time the base, and frontline productivity on top?
Because they behave differently. Every property that automates rosters gets the admin layer back: department heads stop spending 3-8 hours a week building schedules, so those hours are a near-certain base. The frontline layer, staffing the peaks and releasing idle hours, is the bigger prize but depends on how far your current planning is from demand, which is what the six questions measure.
Is the 6-12% labor savings range realistic?
It is deliberately conservative. Unifocus reports 6-8% for hotels moving from manual scheduling; Gartner cites 10-20% for AI workforce scheduling; a 2025 peer-reviewed study measured 12.3% in hospitality. HotelCadence deployments are measured against an agreed baseline, so you see your own number, not a benchmark.
What does mis-staffing actually cost a 250-room hotel?
At 78% occupancy in Thailand, roughly THB 10-20 million leaks over three years, from overtime on under-forecast days, idle paid hours on over-forecast days, and 3-8 manager-hours a week spent building rosters in spreadsheets.
Do I have to give my email to see the result?
No. The result is instant and ungated. Your email is only needed if you want the full model, assumptions, month-by-month breakdown and a shareable link, sent to your inbox.