HospisHospis
Soforthilfe
Back·AI

We address all guests the same way

The regular in his twelfth winter gets the same welcome email as the first-time booker from the platform. The house knows a lot about its guests — just not where it talks to them.

Typical for: properties with a high share of regulars and PMS history · businesses whose newsletter goes to everyone · family-run houses where guest knowledge sits in the owner’s head

Documented by Hospis

Updated: 9 September 2026

How you recognize it

  • Confirmation, pre-arrival email and newsletter are identical for all guests
  • Regulars aren’t welcomed differently from first-timers at arrival — unless the owner happens to be there
  • Preferences, occasions and previous stays are in the PMS but aren’t retrieved day to day
  • Offers go to the entire list regardless of season, stay type or origin
  • The team has no tool to see in thirty seconds who is arriving before check-in
  • AI tools are used for texts but aren’t connected to guest data

Matching Hospis

JW

Josef Walch

Digitalisation · AI in operations · Systems — Lech am Arlberg
Works with protel · Mews · Mews POS · Smart Host
AdviseImplement

Connects PMS, communication and AI so that the team knows before every arrival who is coming — built in his own hotel operation, not in theory.

Mapped to root cause
The data exists but isn’t reachableAI as a typewriterNobody defined what personal means
View profilePersonally vetted · independent match
OT

Olivia Torrente-Dorninger

Sales · Revenue · Marketing — Palma de Mallorca
Works with protel · Mews · Mews POS · Smart Host
AdviseImplement

Splits the guest list into groups the house actually has and gives each its tone and offer.

Mapped to root cause
One message for everyone
View profilePersonally vetted · independent match

Which path fits your situation?

01

Diagnosis

390 € fixed price

A vetted Hospi analyses your situation in a structured way — in conversation and with a written result. Every statement clearly labelled: FACT, BENCHMARK, HYPOTHESIS or CONCLUSION. You get a concrete path, not a sales meeting.

  • A legitimate outcome is also: no engagement needed.
  • If an engagement follows, the diagnosis fee is fully credited.
02

Urgent support

Acute situation? Your case is reviewed with priority — response within 48 hours.

Cause fields — how to tell them apart

Personalisation rarely fails for lack of data. It fails because the data isn’t where the talking happens — and because nobody decided what personal should mean.

These fields are complete, and many properties get there on their own — that is what this page is for. The cost simply does not appear on an invoice: internal hours, a few attempts, and a season that keeps running in the meantime.

01

The data exists but isn’t reachable

How you spot it

The PMS holds twelve stays, the room preference and the allergy. The mail tool knows only name and address. Front desk would have to look it up — and has no time at 4 pm.

The way out

Connect PMS and communication — via an interface or a small tool that compiles the essentials before every arrival. That is where AI actually helps today: not writing, but summarising.

02

Nobody defined what personal means

How you spot it

For the owner, personal means she remembers. For the team, it means the name in the salutation. For the guest, it means the house knows what mattered to me last time. Three definitions, no rule.

The way out

Define three to five moments where the house shows it knows the guest — arrival, room, dinner, departure — and one concrete action per moment. Small, but reliable.

03

One message for everyone

How you spot it

The newsletter goes to the whole list. The winter regular gets the summer offer, the family the romance package. What is meant to be personal feels, through scattering, more impersonal than nothing.

The way out

A few groups from the PMS — season, stay type, return frequency — and per group its own tone and offer. AI can write variants; the house has to decide the groups.

04

AI as a typewriter

How you spot it

The team uses AI to phrase emails more nicely. The text improves, the content stays the same: identical for everyone. The tool is used where it adds the least.

The way out

Use AI where memory is missing: summarise guest history, brief the day’s arrivals, recognise preferences in free text. The personal sentence then comes from a person — with the right knowledge.

Frequently asked

Do we need a CRM?
Not necessarily. Many properties get far with the PMS, clean guest profiles and a connected mail tool. A CRM pays off when several channels and people need the same data.
Is this compatible with data protection?
Using data a guest gave the house for their stay to improve their next stay is the normal case — as long as it is clear what is stored and the guest can object. The boundaries are clarified once, not with every email.
Where do we start?
With the arrival briefing: who arrives today, what do we know, what do we do with it. That can be implemented within weeks and shows immediately whether the data is usable.

Describe your situation

The problem context is automatically included — you do not need to repeat anything.

Problem
We address all guests the same way

Related situations

Our guest data is scattered and unused

No 360-degree view of the guest.

View solution

We do nothing with our guest data

Repeat guests aren't won back deliberately.

View solution

We capture little ancillary revenue from existing guests

Upgrades and extras aren’t actively offered.

View solution
See all problems