Platform module
AI travel technology
Assistance where it helps, with the booking decision still deterministic.
AI in travel is worth real money in three places: understanding what a customer actually asked for, drafting the content and correspondence that agents currently type by hand, and surfacing patterns in demand and pricing that a human would not spot.
It is worth negative money in one place: deciding, unsupervised, what to charge or what to book. TravelCore's design keeps the model on the interpretation side and keeps price, availability and confirmation deterministic. A model may propose a search; the pricing engine still decides the price, and the supplier still decides availability.
This module is on the roadmap. What is committed now is the architectural boundary: the AI layer reads from and proposes into the core, and never writes a price or a confirmation directly.
The hard part
The boundary is the product
Anyone can put a chat box on a travel site. The engineering that matters is the contract between the model and the core: the model produces structured intent, the deterministic engines produce prices and confirmations, and every AI-proposed action is attributable and reversible.
Capabilities
- Natural-language search that resolves to structured search parameters
- Itinerary drafting from a brief, with real availability checked underneath
- Agent assistance: quote drafting, correspondence, summarisation
- Property description generation from structured content, per language
- Demand and pricing signals surfaced as recommendations, not automatic actions
- Anomaly detection on booking patterns for fraud review
Related
The rest of the core
Booking engine
One flow from search to voucher, for every product type.
Pricing and markup engine
Net rate to final price, by rule, versioned and auditable.
Hotel mapping and normalisation
The same property from many suppliers, resolved to one object.