Engineering an Autonomous Travel Agent Mesh to replace static chatbots—enabling multi-step reasoning, real-time inventory fulfillment, and hyper-personalized guest itineraries.
Trusted by Leading Fortune 500 Innovators
High-intent guest inquiries requiring complex, multi-property inventory checks and personalized upsells.
AI Architect + 2 Full-Stack Engineers + Conversational Designer embedded within Digital Commerce.
Reducing reliance on OTAs (Online Travel Agencies) by empowering guests to book complex stays via AI.
Large Language Models (LLMs) with tool-use capabilities, integrated into PMS and Loyalty APIs.
The client’s legacy chatbots were static FAQ responders. They couldn't access live room availability, process payments, or understand nuanced guest requests like 'Find me a suite with a sunrise view for 3 nights, and book a spa session.'
This 'Execution Gap' forced guests back into manual search filters or third-party OTAs, costing the brand 15-20% in commission fees per stay. The hospitality leader needed agents that could *act*, not just *answer*.
Guests receive links to booking pages or policy documents.
Agents execute bookings, upgrades, and dining reservations in-thread.
Every interaction starts from zero; no knowledge of guest loyalty or history.
Agents leverage guest preferences and past spend to drive hyper-personalized upsells.
Hard-coded decision trees with extremely limited conversational flexibility.
Dynamic multi-step reasoning to solve complex multi-property logistics.
Our agents don't just 'talk'; they reason across the PMS, CRS, and Loyalty engines simultaneously to find the optimal itinerary.
Strict data scrubbing ensures guest PII is never stored in the LLM context, maintaining luxury-brand trust standards.
Direct integration with property-level APIs ensures agents never 'hallucinate' room availability during high-traffic events.
Pre-built templates for secure, scoped AI tool-calling in regulated hospitality environments.
Optimized vector-search patterns for hospitality-specific data (Amenities, Policies, Room Types).
Real-time telemetry for monitoring agent accuracy, tool-call success, and guest sentiment.
Automated logic to prevent agents from offering deep discounts that violate property yield rules.
Autonomous agents simplified the journey, turning complex multi-step inquiries into confirmed direct revenue.
Agents resolved 25% of complex reservation modifications that previously required a human agent.
Streaming architecture ensures agents respond with 'human-like' speed, preserving the luxury guest experience.
Client Testimonial
Coretus didn't just give us another chatbot; they engineered an autonomous booking mesh that understands our brand. Our direct revenue increased by 40% because guests can finally get complex reservations done in seconds.
VP of Digital Guest Experience