Industries / Travel
AI for travel support, around the clock.
Booking and support answers grounded in live inventory, so travellers get the right answer at 3am and do not have to ask twice.
What we built for travel. An AI chatbot for a travel platform.
Live inventory answers
Booking and availability answers drawn from live inventory data, not stale copies.
24/7 support
Coverage that does not depend on staffing hours.
Booking assistance
Help with booking questions and support requests in one conversation.
What else we can build for travel. Capabilities we offer. We have not delivered these in this industry yet.
Voice agents
Phone support for bookings and changes, with a handover to staff.
Disruption updates
Proactive messages when plans change, with rebooking options.
Itinerary assistants
Trip details, changes and recommendations in one place.
Agent assist
Suggested answers and booking context for your support team.
Loyalty and offers
Answers about points, status and offers drawn from your programme data.
Review and feedback analysis
Traveller reviews and survey comments grouped into themes for your team.
Corporate travel desks
Requests from travel managers captured, checked against policy and routed.
Multilingual support
Support in the languages your travellers use, with a handover to staff.
Match the autonomy to the task. Routine questions can be answered directly. Exceptions go to people.
- L1WorkflowA fixed, auditable path.
- L2AssistantAI drafts. A person reviews.
- L3Supervised agentAI acts and flags exceptions.
- L4AutonomousRoutine, low-risk, monitored.
- Human-ledPeople decideAI supports the analysis.
Availability and booking questions
Answered from live inventory, with anything unusual flagged.
L3 Supervised agentChanges and refunds
AI prepares the options. Staff approve.
L2 AssistantComplaints and special cases
Handled by people, with the conversation context attached.
Human-led
Our travel work, and related systems. Each result comes from a delivered engagement.
Customer support assistant
A support assistant grounded in live inventory data, available around the clock.
~35% fewer repeat contacts AI · HealthcareMulti-agent voice AI
Live voice agents for scheduling, verification and follow-up calls, escalating to a person when needed.
~50% fewer manual handling cases AI · Agent platformsAI agent platform
Agents retrieve, reason and act across systems, with human approval before high-stakes actions.
~40% less manual effortDo your support requests spike when your team is offline?
The technology behind our travel assistant. Chosen for live data, fast answers and a clean handover to your team.
Generative AI and large language models
Models, chosen per task
- OpenAI
- Anthropic Claude
- Google Gemini
- LangChain
AI agents and orchestration
Tools, steps and handover
- LangGraph
- Tool calling
- Function calling
Speech and voice AI
Listening and speaking
- Speech-to-text
- Text-to-speech
- Conversational voice AI
Natural language processing
Understanding text
- Question answering
- Semantic search
- Embeddings
AI integration and APIs
Connecting to your systems
- REST APIs
- Webhooks
- API gateways
- Third-party AI APIs
Databases and data storage
Where the data lives
- PostgreSQL
- Redis
- MongoDB
Frontend and application development
What people use
- React
- Next.js
- React Native
- Flutter
AI evaluation and observability
Quality and cost, measured
- Latency monitoring
- Cost tracking
- Output quality assessment
- Langfuse
Used in our delivered platforms
From common questions to a live assistant. Four stages, with your support team testing a working version at each one.
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Discovery
Map the support journeys, the systems and data involved, and what good looks like.
Discovery notes
- The questions customers ask
- Your inventory and booking systems
- When to hand over to staff
-
Scope & architecture
Agree which questions it answers, which systems it reads live and when it hands over to staff.
Solution design
- Assistant architecture
- Handover rules
- Success measures
-
Build
Build against your live inventory and booking data, with your support team testing each milestone.
Working build
- Working assistant on live data
- Team review
- Accuracy tests
-
Ship & support
Roll out on your channels with monitoring of answers and handovers, and a defined support window.
Production rollout
- Production rollout
- Monitoring
- Support window
Why Avinya for travel. We have put a travel assistant on live inventory.
Delivered for a travel platform
A chatbot answering from live inventory, with about 35% fewer repeat contacts.
Staff get the context
Anything the assistant cannot settle goes to your team with the conversation attached.
Answers stay current
Availability comes from live inventory data, not from copied pages.
Support after go-live
Answer quality and handovers are reviewed after launch, with a defined support window.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A team that extends yours as channels, destinations and booking systems are added.
Project-based
A defined assistant for one channel or journey, with milestones and a delivery date.
Consulting & advisory
Advice on which questions to automate and when to hand over, before you commit to a build.
What our clients say.
“Avinya Labs built our AI travel chatbot, enabling real-time support, smart travel recommendations, and seamless booking assistance. A highly capable team that delivers ahead of the curve.”
“Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.”
“We needed a platform that could handle complex construction workflows without breaking down every week. Avinya Labs delivered exactly that.”
AI for travel FAQs.
Where do the answers come from?
From live inventory data, so availability answers stay current. That cut repeat contacts by about 35% in our delivered engagement.
Does it work outside office hours?
Yes. It covers support 24/7, independent of staffing.
What happens with complex requests?
They go to your team, with the conversation context attached.
Where should a travel business start?
With the questions your team answers most, in one channel. We map them against your live inventory, agree when to hand over to staff, and build a working version you can test before it scales.
How is traveller data handled?
The assistant sees only what it needs to answer, with role-based access and a record of what was asked. Where traveller data is stored is agreed during discovery.
How long does a travel assistant take to build?
A prototype on your inventory data takes about 6 to 9 weeks, a first version on one channel about 8 to 12 weeks, and a production rollout across channels typically 3 to 5 months.
Can we sign an NDA first?
Booking data often includes personal details. Yes. We can sign an NDA before you share anything, and we agree ownership of the work in the contract before the work starts.