Hotels 30-100 rooms · independentGroup 100-300 rooms · small groupUK Mews · Cloudbeds · Little Hotelier+11% ADR, dynamic pricing
The hotels stack
Six instruments, calibrated.
UK hotels — independent + small group, 30-300 rooms — Mews, Cloudbeds, Little Hotelier — channel manager, dynamic pricing, housekeeping.
01 · Front desk + reservations
Booking, deposit, ID, key — one flow.
Mews, Cloudbeds, or Little Hotelier wired so reservation, deposit hold, ID capture, and contactless key sit on one screen. The 4pm rush stops being the bottleneck. Walk-ins handled without a panic.
Mews / Cloudbeds / Little Hotelier
Deposit & ID flow
Contactless key & pre-check-in
Walk-in availability view
02 · Channel manager
SiteMinder, one calendar, no double-bookings.
SiteMinder pushing rates and availability across Booking.com, Expedia, Hotelbeds, and your direct site — bookings pulled back instantly. The OTA tax shrinks. The double-booking apology email stops landing.
SiteMinder integration
OTA & direct site sync
Restriction & min-stay rules
Real-time inventory push
03 · Dynamic pricing
PriceLabs, rates that follow demand.
PriceLabs feeding compset data, pickup pace, local events, and day-of-week patterns into nightly rate decisions. ADR and RevPAR climb without anyone touching a spreadsheet at 11pm. Override controls when the GM has a strong opinion.
PriceLabs integration
Custom rules engine, owned
Compset & event-aware
Override & floor controls
04 · Housekeeping app
Rooms ready before checkout, not after.
Departures, stayovers, deep-cleans — sequenced and assigned to the right housekeeper, on a phone. Status flips to ready the moment the room is signed off. Front desk stops calling upstairs.
Phone-side housekeeper queue
Stayover vs departure logic
Live ready-status to front desk
Quality-check workflow
05 · Guest comms
Pre-arrival, in-stay, post-stay — on cadence.
Confirmation, pre-arrival upsell, in-stay nudge, post-stay review request, win-back at six weeks. Twilio for SMS, branded email, the whole guest journey scheduled and measured.
Twilio SMS delivery
Pre-arrival upsell flow
Review-platform routing
Direct-rebook nudge
06 · BrainBase
House manual, supplier list, training.
House guides, breakfast hours, local picks, staff SOPs, supplier contacts, training — split into a guest-facing surface and a staff-only one. Guests stop emailing. Staff stop guessing.
Guest-facing house manual
Staff SOPs & training
Supplier & contractor list
AI-assisted retrieval
Sample engagement
The boutique hotel that took back twenty-two percent from the OTAs.
Twenty-four rooms. 78% OTA-dependent. Rate changes by hand at 10pm.
A twenty-four-room boutique hotel ran most of its inventory through Booking.com, changed nightly rates by hand on a laptop after service, and only asked for reviews when the GM remembered. Two-week build: PriceLabs hooked into a custom rules engine, direct-booking nudges across the guest journey, post-stay review and rebook cadence on Twilio. Six months in: OTA dependency down twenty-two percent, ADR up eleven percent, thirty-six thousand pounds of direct revenue recovered.
How we measure: Channel-mix and ADR pulled from the PMS month-on-month (n = 4,128 room-nights); OTA baseline from the trailing six months pre-build; direct-booking attribution tracked via the new pre-arrival flow and confirmation-page UTM tagging.
−22%OTA dependency
+11%ADR, dynamic pricing
+£36kdirect revenue, yr 1
Builds for hospitality
Use cases that fit.
Each is a tightly-scoped build, fixed price, owned by you.