Architecting a multi-lingual NLP engine to consolidate fragmented guest feedback into real-time operational directives—accelerating service recovery by 85% and driving personalized yield optimization.
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Global resort group requiring unified guest intelligence across 50+ multi-lingual properties.
NLP Architect + 2 Data Engineers + UX Strategist embedded within Digital Transformation.
Closing the gap between guest feedback (Social/Direct/OTA) and front-line operational action.
Event-driven Kafka streams, Transformer-based LLMs, and PII-scrubbed data warehouses.
The client’s guest feedback was trapped in silos: TripAdvisor, Google Reviews, social media, and internal surveys were processed manually with a 48-72 hour lag. This 'Insight Gap' meant service issues were often identified only after the guest had checked out.
The risk was structural: negative sentiment was scaling faster than the operations team could react, leading to eroded Brand Equity and missed 'Service Recovery' windows. The enterprise required a transition from 'Reactive Monitoring' to 'Autonomous Directives'.
Manual weekly reports resulted in delayed service recovery and guest frustration.
Sub-2 second processing from feedback timestamp to operational directive.
Primitive search terms failed to capture nuance or multi-lingual sarcasm.
Deep-learning models understand intent, tone, and urgency across 40+ languages.
Static PDF reports that operational teams ignored due to lack of specificity.
Autonomous ticket generation for specific staff members with built-in escalation logic.
The system identifies 'Silent Detractors' by analyzing subtle shifts in feedback patterns, triggering proactive guest outreach.
Every directive is tracked from feedback to resolution, providing an immutable record for guest experience audits.
Deployed localized NLP nodes at resort hubs to maintain sub-second response times during peak check-out windows.
Pre-built PII scrubbing logic to ensure guest feedback analysis meets global GDPR and CCPA standards.
Domain-specific NLP models pre-trained on luxury hospitality lexicons and service categories.
Real-time dashboards for VPs to monitor brand sentiment health across global property portfolios.
Logic templates to feed sentiment data into dynamic pricing engines for amenity yield management.
Real-time directives allowed on-site staff to resolve issues before the guest departed the property.
Proactive service recovery directly correlated to a significant lift in repeat booking intention.
Agentic AI outperformed manual tagging in identifying high-urgency operational threats.
Client Testimonial
Coretus didn't just build a dashboard—they engineered an autonomous sentiment mesh that transformed guest complaints into immediate service wins. We are now recovering guests in minutes, not days.
VP of Guest Experience