Hotel Identity Software

Hapi Guest Identity and Hapi Data Lakehouse Unify Guest Records

Hapi is expanding hotel personalization with 'Hapi Guest Identity' and 'Hapi Data Lakehouse,' which turn scattered guest details into a single usable record so teams can recognize the same person throughout a stay. Made for hotel organizations, the pair connects and tidies data in real time.

Hapi Guest Identity builds a profile only when verified identifiers line up, rather than guessing who belongs together. That keeps hotel teams from acting on a shaky match. Hapi Data Lakehouse stores reservation and folio data in open formats, giving operators a cleaner route into their own cloud environment.

For brands, this means hotel groups can treat guest identity as an operational layer, not just a marketing database. Staff can work from data they trust, and software partners can plug into a hotel-controlled record instead of adding one more isolated guest file.

Image Credit: Shutterstock/DC Studio

Verified Guest Identity
Hospitality platforms that rely on confirmed identifiers can reduce profile errors while enabling more reliable personalization across booking, check-in, and on-property service moments.
Operational Data Unification
Real-time consolidation of reservation, folio, and behavioral data creates a stronger foundation for hotels to coordinate staff workflows, partner tools, and guest-facing experiences.
Hotel-controlled Cloud Records
Open-format data environments give operators greater ownership over guest intelligence while lowering dependence on fragmented third-party databases.

Sectors Adopting This

Hospitality Technology
Guest identity infrastructure is reshaping hotel software by making trusted, interoperable records central to personalization and operational decision-making.
Cloud Data Services
Data lakehouse adoption in hotels signals demand for flexible storage models that support cleaner integrations, analytics, and enterprise control.
Travel Personalization
More accurate guest records allow travel brands to tailor services with fewer assumptions, improving relevance across loyalty, booking, and in-stay interactions.
SCORE
8.1 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 42%
Activity 100%
Freshness 100%