AI Guest Preference Engine
AI Guest Preference Engine unifies data from bookings, on-property interactions, and digital touchpoints to learn each guest’s tastes, habits, and spending patterns. It powers hyper-personalized offers, room settings, and F&B recommendations across the stay, from trip planning through post-stay engagement. Hotels use it to increase ancillary revenue, boost guest satisfaction scores, and drive repeat bookings at scale.
The Problem
“Guest data is siloed, so personalization is manual, inconsistent, and leaves revenue on the table”
Organizations face these key challenges:
No single, trusted guest profile: the same guest appears as multiple identities across PMS, POS, app, and CRM
Staff rely on notes and memory, so preferences get missed during shift changes, multi-property stays, and peak check-in times
Offers and upsells are generic (or rule-based), causing low conversion and guest fatigue from irrelevant messaging
Hard to act in-the-moment: by the time insights are compiled, the guest has already checked out