Engineering a decentralized Data Mesh to synchronize guest preferences across 500+ global resort locations—powering hyper-personalized experiences and sub-50ms profile availability.
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Global resort group requiring a unified guest profile across fragmented Property Management Systems (PMS).
Data Architect + 3 Backend Engineers + DevOps Lead embedded within the Guest Experience division.
Consolidating stay history, preferences, and spend patterns into a single, high-availability data fabric.
Event-driven architecture via Kafka, GraphQL orchestration, and PII-compliant identity mapping.
The client operated 500+ properties across 40 countries, each utilizing localized Property Management Systems (PMS). This structural fragmentation meant a VIP guest at a Paris resort was a 'stranger' when checking into a Maldives location.
The friction was commercial: front-desk staff lacked real-time visibility into guest preferences (e.g., dining allergies, pillow type), leading to missed upsell opportunities and redundant check-in procedures that eroded the 'Luxury' brand promise.
Information restricted to the property where the stay occurred.
Instant, secure access to full stay history and preferences across all 500 sites.
Staff relied on guest self-reporting for preferences at every visit.
Agentic AI triggers room settings and welcome amenities based on past stay telemetry.
Loyalty points and profiles took 24-48 hours to sync between properties.
Guest activity streams globally in sub-second windows, ensuring up-to-date data.
Machine learning models analyze guest feedback and spend to predict which luxury amenities will drive direct re-bookings.
Personalization engine operates on anonymized tokens, ensuring marketing reach without compromising guest privacy.
Infrastructure auto-scales to handle peak check-in windows (12 PM - 4 PM) without latency degradation.
Pre-built logic for secure user-fingerprinting and identity-linkage across fragmented PMS platforms.
Production-ready templates for extracting events from Opera, Sabre, and legacy SQL-based PMS.
Real-time monitoring for data consistency and profile synchronization latency across regions.
Automated cloud cost optimization to maintain global mesh availability within strict budget boundaries.
Hyper-personalized marketing offers based on unified stay data significantly reduced OTA commission costs.
Front-desk applications now retrieve unified 360 guest views instantly, eliminating check-in wait times.
Consolidating 500 regional data silos into a governed mesh reduced redundant cloud storage and compute costs.
Client Testimonial
Coretus didn't just build a database — they engineered a global intelligence mesh that reconciled our brand promise with our data reality. We finally recognize our guests at the front door, no matter which resort they visit.
Chief Product Officer