Teenva AI & Digital Ventures develops travel FAQ chatbots for OTAs, travel agencies, TMCs, and travel portals from Bangalore, India. Your customers and agents get 24/7 answers on baggage, visas, cancellation rules, refunds, check-in, and post-booking status—grounded in your policy documents and booking APIs, not generic web advice that contradicts your fare rules.
Support volume spikes before holidays; FAQ bots deflect repetitive tickets while escalating edge cases to humans with full context. Teenva implements RAG over your help center, booking lookup tools, WhatsApp support, and Zoho Desk ticket creation.
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Travel FAQ chatbot—policies, baggage, visas, refunds, and booking status from your truth data.
What a travel FAQ chatbot handles
| Topic | Examples |
|---|---|
| Pre-book | Visa needs (informational), baggage allowance by fare, COVID/docs (if in KB) |
| Booking | How to pay, hold expiry, name change rules (policy citation) |
| Post-book | PNR status, e-ticket email, hotel voucher download |
| Changes | Date change fees, reroute process—link to agent or self-serve |
| Cancellation | Refundable vs non-refundable per your fare rules |
| Payments | Razorpay/Stripe receipt, failed payment |
| B2B | Credit limit, sub-agent login help, markup display (scoped) |
Not visa legal advice or medical guidance—bot disclaims and escalates. Different from travel booking chatbot (search/book revenue) and itinerary builder (planning)—FAQ bot optimizes support deflection and CSAT.
Features we implement
RAG knowledge base
Help center, PDFs, fare rule summaries, SOPsCitations
“According to our cancellation policy…” with link to sourceBooking lookup tool
PNR + last name → status from your API (auth required)Multilingual
English, Hindi, Arabic, etc. (scoped)Multi-channel
Web widget, mobile app, WhatsAppHuman handoff
Live chat, callback, create Zoho Desk ticket with transcriptAgent assist
Suggested replies for support staff (scoped)Analytics
Deflection rate, CSAT, top unanswered topics, escalation reasonsContent workflow
Re-index when policies update
Architecture
Separate from booking bot — can coexist; router sends “book flight” to booking chatbot
PII safe — mask passport numbers in logs; verify identity before status
Eval suite — 100+ policy Q&A golden answers before launch
Intent routing — FAQ vs booking lookup vs escalate before LLM answer
Use cases
| Persona | Outcome |
|---|---|
| OTA | Fewer “where is my ticket?” emails; faster peak-season response |
| Travel agency | Sub-agents get instant policy answers 24/7 |
| TMC / corporate | Traveler self-serve on CBT policy |
| Air/hotel consolidator | White-label FAQ on partner portals |
| Post-launch portal | Add AI support without hiring night shift—managed IT maintains index |
Integrations
| System | Purpose |
|---|---|
| Travel portal / OTA | Embed widget; SSO for logged-in lookup |
| Booking API | Order status, cancellation eligibility |
| WhatsApp Business API | Support where customers already are |
| Zoho Desk / CRM | Ticket + contact sync |
| Travel CRM | Agent view of chat history |
| Help center CMS | Auto re-ingest on publish |
Wrong cancellation advice is a chargeback risk.
We train on your policies and eval against real fare-rule edge cases—not blog posts from 2019.
FAQ bot vs booking bot
| Travel FAQ chatbot | Travel booking chatbot |
|---|---|
| Policies, status, how-to | Search, hold, pay, ticket |
| RAG-heavy | Tool/API-heavy |
| Deflects support tickets | Drives booking revenue |
Many travel technology stacks deploy both with a shared router. See travel booking chatbot.
Why Teenva AI
Travel policy fluency
Fare rules, GDS quirks, agency workflowsRAG expertise
RAG enterprise search patterns applied to supportFull stack
Portal + AI + integrations + support retainerWhatsApp-native
India and GCC support channelsMeasurable
Deflection and CSAT dashboards, not vanity chat demos
Delivery process
Discovery
top ticket categories, languages, channels
Content audit
help articles, PDFs, gaps to write
RAG ingest
chunk, embed, test retrieval quality
Tooling
booking lookup API (staging)
Conversation UX
escalation paths, disclaimers
Eval
policy Q&A regression set; forbidden answer list
Pilot
one route or internal agents only
Launch
monitor unanswered cluster weekly
Iterate
new articles from escalation themes
Guardrails
- No guaranteed refund amounts without API check
- Visa: informational + link to official sources
- Medical/safety: escalate to human
- Competitor mentions: neutral or decline
- Identify as AI assistant; offer human option
Frequently asked questions
RAG + evals on your docs; low confidence escalates—not guesses.
Yes—with PNR/booking ID + verification via your API.
Yes—WhatsApp API integration with approved templates where required.
Deflects tier-1; humans handle disputes and exceptions.
This page is travel-specific FAQ; the platform page covers cross-industry patterns.
Yes—Zoho integration for tickets and contact sync.
4–8 weeks for RAG + web widget on existing help content—API lookup adds time.
We ingest PDFs; structured CMS is easier to maintain long-term.
Yes—separate knowledge collections for agent vs consumer policies.
You publish policies; we re-index (automated or on schedule)—managed IT support optional.
Build your travel FAQ chatbot
24/7 policy answers and post-booking help—RAG on your docs, PNR lookup, and human handoff on web and WhatsApp.
Build your AI solution with us
Ready to take your business to the next level?