AI for travel & hospitality in India

Travel and hospitality businesses in India talk to guests in multiple languages, across every season, and most of that conversation is still text — itineraries, confirmations, reviews, support replies. unoblox gives travel teams one rupee-billed, OpenAI-compatible endpoint for GPT, Claude, DeepSeek, Qwen, Llama and more, so guest-facing AI features can be built and billed entirely in rupees.

Where travel and hospitality teams use it

The common patterns are drafting and summarising: turning a set of preferences into a first-draft itinerary for an agent to refine, drafting booking-confirmation and pre-arrival messages, summarising guest reviews into themes for a property manager, and answering common guest questions in a chatbot. unoblox does not check live flight or room availability — it's a language layer that you connect to your existing booking and inventory systems for anything real-time.

Handling seasonal traffic without a cost spike

Support and concierge chat volume in travel is famously seasonal, so it helps to have a cheap default and a stronger model for the calls that need it.

Model	₹ / 1M input	₹ / 1M output	Typical use
qwen/qwen3-1.7b	0 (free)	0 (free)	Free pilot for a concierge chatbot
deepseek-ai/deepseek-v4-flash	9.07	18.14	Peak-season FAQ and confirmation drafting
meta-llama/llama-4-maverick-17b-128e-instruct-fp8	20.16	80.64	Richer itinerary drafting
anthropic/claude-sonnet-5	201.6	1008	Premium, higher-touch guest communication

Every model's live rate is on /models; the figures above are indicative.

Multilingual guests, one endpoint

A guest querying in Tamil, Bengali or Marathi doesn't need a separate vendor — route the request to a general multilingual model such as qwen/qwen3-235b-a22b-instruct-2507 or openai/gpt-5, and have a fluent reviewer spot-check tone and factual details like timings or addresses before they reach the guest.

A sample call

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/deepseek-v4-flash",
    "messages": [{"role": "user", "content": "Draft a pre-arrival message for a 3-night booking, in English and Hindi."}]
  }'

Frequently asked questions

Can it check real-time flight or hotel availability? No. It's a language model, not a booking or inventory system; connect it to your existing systems for anything live.

Can it write guest communication in regional languages? Yes, using a general multilingual model — have someone fluent review place names, timings and tone before sending.

Is guest data stored in India? Only for the free qwen/qwen3-1.7b model. Other models run on their original providers' infrastructure outside India.

Is there a free tier to prototype a concierge bot? Yes, qwen/qwen3-1.7b costs nothing per token.

Can it guarantee the itinerary details are factually accurate? No. Treat generated itineraries as a draft; verify venue details, timings and availability before sharing with a guest.

How is this billed through a busy travel season? Per token actually used, in rupees, on one monthly GST invoice — cost tracks usage rather than a fixed seasonal fee.

Get started in rupees → https://unoblox.ai/sign-in