Customer stories

Real hotels. Real outcomes.

How operators are using Otel to walk into decisions, not data.

Trusted by hotel operators

The GreenThe DavenportFitzpatrick CastleThe Johnstown EstateThe MontWoodenbridge Hotel & LodgeThe Sandy Mount HotelJDP Hotels GroupThe HendrickPembroke HotelThe Address - ConnollyThe Killarney ParkThe GreenThe DavenportFitzpatrick CastleThe Johnstown EstateThe MontWoodenbridge Hotel & LodgeThe Sandy Mount HotelJDP Hotels GroupThe HendrickPembroke HotelThe Address - ConnollyThe Killarney Park

Case Study · The Johnstown Collection

Two curious users became ten, across five departments. Nobody was told to use AI.

An independent estate in Co. Meath with the operating complexity of a much larger group: bedrooms, self-catering lodges, a destination spa, weddings, sports business and a large conference and events operation, plus Trim Castle Hotel under one central commercial team. It started with two people trying to answer questions faster. It spread because the answers were useful.

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2 → 10

Direct users

across five hotel functions

23

Recurring reports and checks

running in the background

1.5 hrs

Estimated daily saving

on pickup, across two hotels

Live

Answers in management meetings

in seconds rather than hours

The Johnstown Estate, Enfield, Co. Meath

The biggest change isn't that reports are quicker. It's that people are now asking questions they wouldn't previously have had the time or data to answer.

The Johnstown Collection

Seán Reid Commercial Director The Johnstown Collection

Case Study · O'Callaghan Collection

The Alex went from reactive pricing to 120 rate actions a month. Same team. Same systems.

A four-property hotel group across Dublin and London. The revenue team knew where the gaps were. They just couldn't act on every date, every day. One Flow changed that: review the full forward calendar overnight, flag underpriced dates versus comp set, and have recommendations ready before the first cup of coffee.

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+8.6%

RevPAR Growth

vs. same period last year

110.4

RevPAR Index

outperforming the compset

+5.0%

Above Budget

combined Jan–Feb room revenue

~120/mo

Rate Actions

via Flows, every month

The Davenport Hotel, Dublin — O'Callaghan Collection

I can't personally check every hotel every day but Otel AI gives me comfort that I can always see where the opportunities are, where the risks are, and that the team is actually acting on them.

Joanne McDonnell Group Cluster Manager O'Callaghan Collection

Case Study · Fitzpatrick Castle Hotel

How Fitzpatrick Castle's MD swapped a four-tab morning routine for an AI co-worker.

113 rooms in Killiney, Co. Dublin. Mark's morning used to mean Guestline, Lighthouse, payroll and a pickup report, cross-referenced by hand before a single decision got made. Now the pickup report runs itself at 8am, broken down by segment, and the weekly forecast is ready before the meeting starts.

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40 mins

Daily sales report

now automated, every morning

Half a day

Weekly forecast prep

now ready before the meeting

8am

Pickup, by segment

flagging movement by month

113 rooms

Killiney, Co. Dublin

an early design partner

Fitzpatrick Castle Hotel, Killiney

It's like having a mixture of a P.A. and a data analysis person. Reducing the mental load that I have day-to-day, that's where I've loved the Flows.

Fitzpatrick Castle Hotel

Mark Scott-Lennon Managing Director Fitzpatrick Castle Hotel