AI-native infrastructure for travel commerce

The Infrastructure Layer for AI Travel Commerce

Intentra connects travel suppliers, distributors, and AI agents through a unified platform built for conversational booking and intelligent travel experiences.

Or follow the five-step demo walkthrough for supplier presentations.

Travel supply

Rates, inventory, rules, availability

Intentra

Intent orchestration layer

AI agents

Agentic commerce, orchestration, distribution APIs

The problem

Travel commerce was not built for agentic demand

Suppliers and distributors still stitch together legacy search, opaque APIs, and channel-specific merchandising while travelers expect conversational, personalized booking.

Fragmented discovery

Travelers bounce between filters, tabs, and static grids while intent gets lost between channels.

Supplier schema sprawl

Every wholesaler, bedbank, and OTA exposes different payloads — slowing AI and agent distribution.

Channel rebuild tax

Each new conversational surface forces distributors to re-integrate inventory, pricing, and policy logic.

The solution

One commerce layer from supplier inventory to AI-ready booking

Intentra sits between supply and demand — normalizing inventory, applying distribution logic, and returning explainable, bookable hotel options in mock mode today and sandbox suppliers tomorrow.

01

Normalize once

Map heterogeneous supplier payloads into a canonical hotel model with validated schemas.

02

Orchestrate intent

Turn natural-language trips into structured search, ranking, and merchandising decisions.

03

Distribute everywhere

Expose the same bookable outcomes to OTAs, AI agents, and white-label experiences.

Demo runs in mock mode — deterministic catalogs, no live credentials required.

Open Integration Hub

Travel DNA

Personalization that re-ranks results in real time

Travelers set up to eight preference chips. Intentra scores every hotel against destination, trip type, budget, and DNA — surfacing why each property fits before they open the detail drawer.

Family-friendly

+8 when matched

Luxury

+8 when matched

Beach

+8 when matched

City center

+8 when matched

Wellness

+8 when matched

Business

+8 when matched

Eco-conscious

+8 when matched

Nightlife

+8 when matched

Scoring formula

  • Destination match (+12)
  • Trip type alignment (+8)
  • Budget fit (+10)
  • Preference chips (up to +32)
  • Quality & review signals (+6)
Try Travel DNA in search

Supplier network

Four mock suppliers, one canonical hotel model

Each adapter maps supplier-specific payloads into CanonicalHotel — validated with Zod, ranked consistently, and ready for sandbox credentials when your team is live.

HBX Group Mock

hotelbeds-mock

Mock active

HBX Group wholesale baseline catalog

WebBeds

webbeds-mock

Mock active

+10% wholesale-style rates

Expedia

expedia-mock

Mock active

−5% public strikethrough pricing

Amadeus

amadeus-mock

Mock active

+5% offer-based metadata

Normalization layer converts every supplier response into shared search results — amenities, policies, images, and match reasoning included.

Integration Hub

Demo walkthrough

Five-minute path for supplier presentations

Follow this sequence to show conversational search, personalization, hotel merchandising, and integration readiness — all in mock mode.

  1. Start with intent

    Open the product demo and describe a trip in natural language — Orlando family vacation, Paris weekend, or your own scenario.

    Explore Demo
  2. Review ranked results

    Jump to the search experience to see split-view results, synchronized map pins, and supplier-normalized hotel cards.

    Search Experience
  3. Personalize with Travel DNA

    Open Travel DNA from the header, select preference chips, and watch results re-rank with explainable match scores.

    Try personalization
  4. Inspect hotel details

    Click any property card to open the detail drawer — amenities, policies, placeholder images, and why it matched.

    Open Paris search
  5. Validate integration readiness

    Use the Integration Hub to review mock supplier health, credential checklists, and onboarding steps for live sandbox cutover.

    Integration Hub

Tip for live demos: keep SUPPLIER_MODE=mock and run npm run smoke:local before your meeting to verify API health.

Product demo

Try the travel commerce demo

Explore the Intentra traveler experience with mock inventory — no live supplier credentials required. Search, personalize, and inspect hotels exactly as the platform will behave once sandbox suppliers are connected.

Mock mode active

Results come from normalized mock catalogs (Hotelbeds, WebBeds, Expedia, Amadeus). Prices, availability, and images are deterministic placeholders — not live supplier inventory.

  • Conversational search

    Describe a trip in plain language and get ranked mock hotel results.

  • Travel DNA personalization

    Set family, luxury, beach, and other preferences — results re-rank instantly.

  • Hotel detail drawer

    Open a property to review amenities, policies, images, and AI match reasoning.

  • Supplier normalization

    Four mock suppliers return the same catalog through a canonical hotel model.

Integrators: review credential readiness on /integration.

About Intentra

A commerce layer built for AI-native travel distribution

Demand is shifting from static search to agentic interfaces. Intentra gives suppliers and distributors the infrastructure to understand intent, surface accurate inventory, and power bookable outcomes across every channel.

01

Normalize supplier inventory

02

Expose agent-ready commerce APIs

03

Orchestrate policy and pricing

04

Confirm bookable outcomes

Why Intentra

Infrastructure designed for suppliers, distributors, and AI platforms

One layer that connects supply, orchestrates distribution logic, and enables agentic commerce — without rebuilding your entire stack.

Supplier Connectivity

Unify hotel wholesalers, bedbanks, and inventory platforms through one adapter layer — with canonical normalization across heterogeneous supplier schemas.

AI Commerce

Expose structured search, quote, hold, and booking endpoints that AI agents and platforms can call inside conversational commerce flows.

Distribution Intelligence

Encode margins, channel eligibility, commercial rules, and merchandising constraints into every commerce response at runtime.

Scalable Infrastructure

Enterprise-grade APIs, queue workers, circuit breakers, and observability — built for high-volume distribution and multi-tenant scale.

Platform

One infrastructure layer from inventory signal to confirmed booking

Intentra brings supplier systems, wholesale supply, OTA distribution, and AI-native commerce surfaces into a single graph designed for speed, context, and bookability.

Inventory normalization

Unify fragmented supplier feeds into structured, agent-readable inventory with availability, restrictions, fees, and booking requirements intact.

Policy and pricing logic

Encode margins, supplier rules, channel eligibility, payments, cancellation windows, and merchandising constraints into every commerce response.

Agent-ready APIs

Expose structured search, quote, hold, and booking endpoints that AI agents and platforms can reliably call inside agentic commerce flows.

Booking orchestration

Turn intent-rich recommendations into confirmed outcomes with availability checks, supplier handoff, confirmation, and post-booking operational context.

UI Service

Modular monolith architecture

API Service

Modular monolith architecture

Chat Service

Modular monolith architecture

Worker Service

Modular monolith architecture

Supplier Connectivity

Connect suppliers once. Distribute everywhere AI travel demand emerges.

Intentra links hotels, operators, wholesalers, DMCs, bedbanks, and inventory platforms to downstream commerce channels without forcing every supplier to rebuild for agent-driven demand.

Hotels
Tours
Wholesalers
DMCs

Intentra connectivity hub

Normalize · Enrich · Route · Book

OTAsAI agentsPlatforms

Supplier APIs, static content, rates, and allotments unified into one graph.

Channel-specific merchandising and commercial rules applied at runtime.

AI Commerce

Built for agentic interfaces across the distribution stack

Intentra converts natural-language demand into structured commerce actions — preserving context from discovery through availability, quote, payment handoff, confirmation, and service.

01

Understand intent

Capture preferences, constraints, party details, loyalty context, and commercial parameters from natural-language input.

02

Match inventory

Resolve demand against live supplier inventory, distribution rules, channel eligibility, and commercial priorities.

03

Quote with context

Return explainable options with pricing, inclusions, cancellation terms, availability confidence, and next actions.

04

Bookable outcome

Trigger booking, handoff, confirmation, and servicing events with commercial and operational context preserved end to end.

Built for the industry

Built by Travel Distribution Leaders

Intentra is founded by travel industry professionals with decades of experience across hotel distribution, supplier connectivity, revenue optimization, commercial strategy, and global travel technology.

Our mission is to bridge traditional travel infrastructure with the emerging world of AI-driven commerce.

DistributionConnectivityAI commerce

Early access

Currently Onboarding Launch Partners

Intentra is currently onboarding supplier integrations and strategic partners ahead of public availability.

Hotel suppliersWholesalersTravel distributorsOTAsAI platformsTechnology partners
Partner With Intentra

Contact

Bring AI-native travel commerce to your inventory, marketplace, or agent experience

Talk with Intentra about supplier connectivity, OTA distribution, agentic commerce, or infrastructure partnerships.

hello@intentra.ai

Platform sandbox for partners: Integration diagnostics