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AI product development
Generative AI · Recommendation & personalisation

AI Travel Planning Engine

A useful itinerary is not a list of places. This system turns a traveller's natural-language requirements into a structured, personalised day-by-day plan, treating itinerary creation as a planning and recommendation problem rather than text generation.

The challenge

Creating a useful travel itinerary is more complicated than generating a list of places to visit. A good itinerary has to account for a traveller's preferences, the time available, destinations, activities, and the practical relationship between different places and experiences. The challenge was to build an AI-driven approach that could turn a traveller's requirements into a structured, personalised itinerary rather than a generic collection of recommendations.

What we built

We developed an AI-powered itinerary generation system that creates personalised travel plans from user requirements and preferences, combining generative models with recommendation and optimisation techniques to produce coherent itineraries.

  • Natural-language understanding. Interprets travel requirements as the traveller describes them.
  • Day-by-day generation. Produces a structured itinerary rather than an undifferentiated list.
  • Personalised recommendation. Tailors suggestions to traveller preferences.
  • Logical sequencing. Organises activities into a workable order.
  • Duration and destination context. Accounts for trip length and where the traveller is going.
  • Foundation for learning. Structured so recommendations can improve from preferences and behaviour over time.

How it works

The workflow combines AI-driven generation with personalisation and planning.

  • 01Traveller preferences
  • 02AI understanding
  • 03Recommendations
  • 04Itinerary generation
  • 05Structured travel plan

Rather than treating itinerary creation as a simple text-generation problem, the approach treats it as a planning and recommendation problem in which multiple factors have to work together.

Outcome

The project established an AI-driven approach for generating personalised travel itineraries from natural-language requirements, providing a foundation for travel experiences where recommendations become increasingly personalised and itinerary generation adapts to the individual traveller.

Technology

  • Generative AI
  • LLMs
  • Recommendation systems
  • Prompt engineering
  • AI planning
  • Personalisation

Related work

AI Travel Assistant on WhatsApp — the conversational interface built on top of this engine

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