Lumavia Hotels
Introduction
A guest-messaging copilot for nine hotels in five languages

The brief
Guests were waiting three hours for a simple answer
Lumavia runs nine boutique hotels in three capitals. Pre-arrival questions about parking, late check-in, cots, transfers and allergies arrived by email, booking-platform messages and WhatsApp, in five languages, and landed on front-desk teams who were also checking guests in. Median reply time was three hours and ten minutes, and paid extras were rarely offered because nobody had the time.
Before
- Guest writes
- Message waits for a quiet moment
- Staff look up booking
- Reply typed from scratch
- Extras rarely mentioned
With Zephyr
- Guest writes
- Copilot reads booking and house rules
- Draft appears in the inbox
- Front desk approves or edits
- Relevant extras offered
What we did
A copilot that drafts, and a front desk that decides
We built a messaging copilot that pulls the guest’s reservation from the property management system, checks the hotel’s own rules and local information, and drafts a reply in the guest’s language and the brand’s voice. Front-desk staff approve, edit or discard each draft from a single inbox. Where it fits the question, the draft offers a relevant extra such as late checkout or an airport transfer. Nothing is sent without a person pressing send.
- Analysis of 18,000 past guest messages
- House-rules knowledge base per hotel
- PMS and channel integration
- Drafting in five languages with brand voice
- Single approval inbox for front desk
- Weekly review of edited drafts
The outcome
Results
14 min
median reply time, down from 3 h 10 min
64%
of drafts sent without a single edit
+11%
revenue from late checkout and transfers
The first hotel went live in week ten and all nine were on the system within five months. Edited drafts are reviewed every week and fed back into the house rules, which is why the no-edit rate has climbed from 41 to 64 percent.
“It sounds like us, in Czech, at eleven at night. The team stopped dreading the inbox.”
What was involved
- PMS integration
- Multilingual drafting
- Approval inbox
- Upsell rules
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