Operations watchdog for hotels and restaurants
An availability gap between the PMS and an OTA, a wave of cancellations, a one-star review posted on a Saturday night: in this trade, an incident is paid in overbooking or reputation. The watchdog monitors your channels and flows continuously, service hours and nights included.
In your day-to-day
- 01
Alerts on availability or rate discrepancies between PMS, channel manager and OTAs, before the overbooking.
- 02
Detection of new guest reviews, with a draft reply prepared for validation.
- 03
Flagging of an abnormal drop in bookings over a key period — long weekend, season, local event.
A typical scenario
A 50-room seasonal hotel sells on four OTAs through an ageing channel manager — and every desynchronisation is paid for in a guest to relocate or a rate given away.
- 01
At 2 AM, a room sold twice through desynchronisation: the alert is waiting for reception at breakfast, offending channel identified.
- 02
A promotional rate left active past its end date is caught before the weekend — not after thirty cut-price bookings.
- 03
A wave of simultaneous cancellations on a single date surfaces immediately: often the symptom of a rate duplicate or a cancelled local event.
What changes
Overbooking gets resolved before the guest arrives rather than at the desk at 10 PM, and rate errors no longer live through a whole weekend.
Order of magnitude
Working assumptions
- →2 to 3 synchronisation incidents a month in season — around ten per season
- →hunted by hand, a discrepancy lives several days before being seen
Detection drops from days to under an hour across a season’s ten-odd incidents — the difference between a quiet fix and a guest to relocate.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
Booking requests arrive during service — by the time you reply, the guest booked elsewhere, often through an OTA that takes its commission.
- →
Guest reviews pile up unanswered, and an ignored negative review works against you for months.
- →
No-shows and unpaid group invoices get handled “when there is time” — which in season means never.
How it works
- 1
Continuous watch over your flows
Stock, orders, deliveries, payments, queues, systems: the watchdog reads your tools continuously and learns each flow’s normal behaviour.
- 2
Signal, not noise
A seasonal variation is not an anomaly. The watchdog qualifies each gap — normal, watch, incident — and only alerts when action is useful. That triage is what keeps alerts trusted.
- 3
The right person, with context
The alert reaches the person who can act, with the diagnosis: what, since when, how big, and first leads. Escalation is automatic if nobody acknowledges.
Typical results
4 min
from anomaly to alert, observed in production
24/7
watching, nights and weekends included
÷10
alert volume, thanks to signal/noise triage
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Does the watchdog reply to reviews on its own?+
By default, no: it prepares a draft suited to the review, which you validate before publishing. You can later authorise it to publish alone on simple cases — thanks, positive reviews — while replies to sensitive reviews stay with you.
What exactly does it watch on the OTAs?+
The gaps that cost money: desynchronised availability, inconsistent rates across channels, bookings not fed back into the PMS. The alert reaches reception with the detail — channel, room, dates — to fix before the guest arrives.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
Get my free diagnosticFree resource
Get the self-assessment grid for your sector
Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.