Development of an AI Travel Assistant Powered by LLM
TravelCase study of an AI travel platform: an intelligent assistant powered by LLM and RAG for flight and hotel search, complex itineraries, price alerts, and a Telegram-first interface.
About the Product
TravelTech / AI / LLM • Telegram Bot, Telegram Mini App, Web • In-house product
KatusAI is an AI travel assistant that helps users solve most travel-related tasks in a single chat.
Instead of browsing dozens of websites, filters, and services, users simply describe what they need in natural language — and KatusAI:
- understands the intent,
- extracts the relevant parameters,
- finds the data,
- analyzes it,
- and returns a clear, useful answer.
The product is evolving as a unified AI platform, with new capabilities continuously added on top of a shared AI core.
Team Role
KatusAI is an in-house product, with the team fully responsible for building and evolving the entire IT system:
Key Product Capabilities
AI-Powered Flight Search
- Understanding of both simple and complex natural-language queries (cities, countries, regions, “anywhere,” “by the sea,” “abroad”)
- Support for one-way / round-trip trips, layover constraints, date ranges, trip duration, airline preferences, and exclusions
- Search for complex itineraries (multi-city / open-jaw)
- Generation of dozens or even hundreds of route and date combinations
Flight Price Alerts
- Alerts can be created in just 2–3 clicks directly in the chat
- Support for complex queries: regions and countries, flexible dates, and routing constraints
- 24/7 price monitoring
- Telegram notifications when the price drops below a user-defined threshold
Hotel Search with AI Analysis
- Hotel search by name, by URL, or through the Mini App
- A proprietary database of tens of thousands of hotels
- AI review analysis: pros and cons summarization, honest property descriptions, and AI-generated ratings
- Price-drop alerts with rebooking options and savings of up to 50%
Itineraries and Travel Guides
- Itinerary generation based on a user prompt
- Answers to any travel-related questions: visas, entry rules, tips, locations, and destination guides
- Powered by a proprietary traveler knowledge base
Key Engineering Challenges
1. AI Agent Interface (LLM)
The AI assistant solves two mission-critical tasks:
- Intent recognition (what exactly the user wants to do: flights, hotels, itinerary, or a travel question)
- Query parameter extraction, specific to each scenario: destinations, dates, ranges, constraints, and preferences
The result is the transformation of free-form text into a strictly structured query that search and analytics algorithms can process.
2. Data Collection and Normalization
To power KatusAI, the team built a proprietary data platform:
- Location hierarchies (cities → countries → regions)
- IATA codes and transportation entities
- Hotels, flights, and package tours
- Reviews and user-generated content
- Traveler knowledge base (RAG)
All data is normalized, refreshed, moderated, and made available to the AI assistant through a unified access layer.
Using LLM Beyond the Chat Interface
LLM models are used not only as the conversational AI agent, but also for:
Architecture and Tech Stack
Backend
Frontend
AI / Data
Project Team
Results
Product launched
September 2024
Active user base
Growing organically
Regular release of new features
Continuous product development
Unified AI interface
Covering an expanding range of travel scenarios
Flexible architecture
Ready for scaling and expansion into new markets
Project Links
KatusAI is available as a web application and a Telegram bot:
Summary
KatusAI is an example of a product-driven AI approach where AI is not an add-on, but the core of the user experience.
The project combines:
- LLM engineering,
- large-scale data operations,
- a complex travel domain,
- and thoughtful product logic.
It is a live AI product that continues to evolve and scale.
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