Integration · Cloudbeds

Your Cloudbeds pickup knows the tour bus is coming. Your breakfast roster should too.

Yes, HotelCadence connects to Cloudbeds via its REST API in under two weeks, read-only. Reservations, pickup, arrivals and occupancy flow into hourly demand forecasts and draft rosters for front desk, housekeeping and breakfast; nothing writes back. Cloudbeds runs 26,000+ properties with its strongest density in Thailand and Singapore, exactly the markets where HotelCadence measures 6–12% labor savings against your own baseline.

Book a demo with your own Cloudbeds dataHotel labor savings calculator →

Cloudbeds logoCloudbeds · vendor website: cloudbeds.com ↗

In Southeast Asia, the cost line is the profit lever

Cloudbeds' own 2026 report found APAC independents took the steepest declines globally, ADR down 16.2%, RevPAR down 17.5%, even as arrivals grew. When rate cannot carry the year, mis-staffed shifts do the damage: labor runs 32.4% of revenue (CBRE, US benchmark), and Thailand alone is short 1.2 million hospitality workers (Thai Hotel Association, 2024). Overstaffing “to be safe” burns exactly the hours you cannot hire back.

HotelCadence turns the Cloudbeds reservation stream into demand-matched rosters via AI hotel staff scheduling, labor cost down 6–12%, guest service and review scores held. See what that looks like for hotels in Thailand.

26,000+properties run Cloudbeds in 150 countriesApps Run The World
TH & SGamong Cloudbeds' highest customer-density marketsApps Run The World
77.9%of Indonesian reservations come via OTAs, short-lead by natureCloudbeds, 2026 report
Exact scope

What data does HotelCadence read from Cloudbeds?

Five data points, all read-only, all counts and dates, no guest-identifying data is required. This is the complete list; there is nothing else in the scope.

Data pointViaSync frequency
Reservations & pickupCloudbeds REST API, reservationsEvery 15 minutes
Arrivals & departuresCloudbeds REST API, check-in & check-out datesHourly
Occupancy & house countCloudbeds REST API, availabilityHourly
Rate & booking sourceCloudbeds REST API, rates & sourcesDaily
F&B covers (where available)Your POS export, Cloudbeds does not hold covers nativelyDaily

Read-only scope · approved and revocable from your Cloudbeds dashboard.

Setup

Live in under two weeks, in three steps

Step 1

Approve the connection

Your Cloudbeds administrator approves HotelCadence’s read-only API connection from the Cloudbeds dashboard, a ten-minute task, no IT project, revocable at any time.

Step 2

Backfill and calibrate

HotelCadence pulls up to two years of Cloudbeds reservation history and calibrates daily and hourly demand forecasts per department against your own actuals, including OTA short-lead pickup patterns.

Step 3

Go live and measure

Forecasts refresh as pickup changes and draft rosters flag shifts that no longer match demand. Managers approve everything. Typically live in under two weeks, measured monthly against your agreed baseline.

Worked example

Phuket, 85 rooms: breakfast staffed to the pickup, not to “safe”

Phuket heads into 2026 with roughly 15,000 unfilled hotel and tourism positions, so this beach hotel could not simply hire its way past demand swings. Breakfast ran five staff every day “to be safe” while OTA-driven arrivals swung the real need between three and seven. The pickup predicting each swing was already in Cloudbeds, the roster just never saw it.

Scheduled (flat roster)Staff required (Cloudbeds pickup)HotelCadence draftMis-staffed days
0 staff2 staff4 staff6 staff8 staff1, Scheduled (flat roster): 5 staff2, Scheduled (flat roster): 5 staff3, Scheduled (flat roster): 5 staff4, Scheduled (flat roster): 5 staff5, Scheduled (flat roster): 5 staff6, Scheduled (flat roster): 5 staff7, Scheduled (flat roster): 5 staff8, Scheduled (flat roster): 5 staff9, Scheduled (flat roster): 5 staff10, Scheduled (flat roster): 5 staff11, Scheduled (flat roster): 5 staff12, Scheduled (flat roster): 5 staff13, Scheduled (flat roster): 5 staff14, Scheduled (flat roster): 5 staff135791113 1, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 3 staff · HotelCadence draft: 3 staff 2, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 4 staff · HotelCadence draft: 4 staff 3, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 3 staff · HotelCadence draft: 4 staff 4, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 5 staff · HotelCadence draft: 5 staff 5, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 6 staff · HotelCadence draft: 6 staff 6, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 4 staff · HotelCadence draft: 4 staff 7, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 3 staff · HotelCadence draft: 3 staff 8, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 4 staff · HotelCadence draft: 4 staff 9, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 6 staff · HotelCadence draft: 6 staff 10, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 7 staff · HotelCadence draft: 7 staff 11, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 5 staff · HotelCadence draft: 6 staff 12, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 4 staff · HotelCadence draft: 4 staff 13, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 3 staff · HotelCadence draft: 4 staff 14, Scheduled (flat roster): 5 staff · Staff required (Cloudbeds pickup): 4 staff · HotelCadence draft: 4 staff
A fortnight of breakfast staffing: the flat roster overpays quiet days and breaks on day 10, the Cloudbeds-fed draft follows the pickup.

The data behind this chart

DayStaff required (from Cloudbeds pickup)Scheduled (before)HotelCadence draft
Day 1353
Day 2454
Day 3354
Day 4555
Day 5656
Day 6454
Day 7353
Day 8454
Day 9656
Day 10757
Day 11556
Day 12454
Day 13354
Day 14454

Worked example, figures indicative.

Short-lead pickup is a forecasting problem before it is a rostering one, the hotel demand forecasting page shows how the 15-minute sync keeps the forecast honest between spreadsheet cycles.

Cloudbeds integration questions, answered

How long does a Cloudbeds integration take?

Under two weeks in most cases. Approving the read-only API connection takes about ten minutes in the Cloudbeds dashboard; the remaining time is backfilling reservation history and calibrating forecasts against your actuals. Integration is included in the 90-day pilot (from US$7,500).

Is HotelCadence listed on the Cloudbeds marketplace?

Certification listing is in progress. The connection itself uses Cloudbeds’ documented REST API with a read-only scope your administrator approves and can revoke, so nothing about setup or sync depends on the marketplace listing.

Most of our bookings are OTA and short-lead, can you still forecast staffing?

Yes, that is the case the system is built for. OTAs take 77.9% of reservations in Indonesia (Cloudbeds 2026 report) and SEA lead times are short, so HotelCadence re-syncs pickup every 15 minutes and re-forecasts daily. Rosters flag the shifts that stopped matching demand instead of waiting for next week’s spreadsheet.

We are an 80-room independent, is HotelCadence too big for us?

No. Software is from US$6 per scheduled employee per month and the fixed-scope pilot is from US$7,500, credited on rollout. An 80-room property mis-staffing 6-12% of its labor line typically leaks more than that in a quarter, the labor savings calculator puts a number on it before you talk to anyone.

We are mid-migration to Cloudbeds, should we wait?

No. We connect as soon as Cloudbeds is live and backfill history from your previous PMS export, so forecasts start with years of context rather than weeks. Many properties use the pilot to validate the migrated data.

Does HotelCadence write anything back, and where does the data live?

Nothing is written back, the connection is strictly read-only, and rates, reservations and guest profiles are never touched. We read counts, dates, rates and sources, not guest-identifying data. Hosting is in-region, with Singapore as the default APAC residency.

Book a demo with your own Cloudbeds data

30 minutes · approve read access and we demo on your live pickup · no obligation.