Hapi Released New Hotel Guest Data Tools
The firm introduced identity and lakehouse software to centralize guest profiles for 15,000 hotels worldwide.
Updated on Oct. 1, 2026 in Hotels
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Hapi has launched Hapi Guest Identity and Hapi Data Lakehouse, two new software solutions designed to consolidate fragmented guest profiles across hospitality platforms. The company also announced the transition of its Hapi Guest CRM product to the firm Aquiva.
Why it matters
Hotel organizations require complete, unified data to effectively personalize guest experiences and successfully adopt artificial intelligence technologies. These tools aim to solve data silos by integrating information from reservation, stay, and folio records into a single model.
Hapi serves 15,000 hotels worldwide, managing integration across more than 100 unique production systems. The new Hapi Data Lakehouse platform consolidates reservation, guest, stay, and folio data into a single, normalized model.
The players
Hapi
Hapi is a technology company that provides data integration and management solutions for the global hotel industry.
Aquiva
Aquiva is a technology firm that has taken ownership of the Hapi Guest CRM platform.
The details
Hapi Guest Identity utilizes deterministic matching by leveraging shared identifiers like email addresses, phone numbers, or loyalty IDs to link guest records. Additionally, the new Hapi Guest Pop browser extension allows staff to surface this unified guest information directly within their existing hotel property management systems.
Timeline
Hapi announced the release of its new software solutions on October 1, 2026.
Travel Outlook
The reliance on hotel property management systems as a central data hub marks a significant shift in how global hospitality firms manage digital guest identities. This development mirrors a broader industry transition toward cloud-native data architectures that prioritize interoperability over legacy silos.
Hotel operators and staff can expect improved workflow efficiency as new data tools allow guest information to surface within existing property systems. Guests may notice more consistent service personalization as hotels gain the ability to accurately match profiles across different platforms.
The takeaway
The move toward centralized data lakehouses signifies that data quality is now a prerequisite for AI integration in the travel sector. Managers should focus on ensuring that their property management systems are correctly configured to share data with these new identity frameworks.
Further reading
For more on the current state of hospitality technology, visit the Hotels section.
More information
View full details on the new suite of tools on the Hapi product information page.
Live Poll
Do you trust hotels to properly manage and utilize your personal data for better service?
