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AI Agents & Automation

Travel Itinerary AIDevelopment

Turn a traveller's wish list into a draft itinerary built from your actual tours, hotels and transfer times, ready for an agent to polish.

Travel Itinerary AI Development: what the work involves

A travel agent receives a message: five days in Hunza for a family of four in May, moderate budget, no long drives. Building the answer means checking road conditions, hotel availability, driving times and what the group can sensibly do each day. It can take an hour or more per enquiry, most of which will not convert, and tired agents copy old itineraries with outdated details.

DevKey builds an itinerary assistant that works inside your catalogue. It collects the traveller brief through chat or a form, then composes a day-by-day plan from your tours, partner hotels and transport options, checking travel times, opening hours and seasonal closures from data. The draft includes alternatives and an indicative route map. An agent reviews, adjusts and adds pricing from your quoting tool before anything reaches the customer, so speed improves while accountability stays with you.

What we build

Core features

01

Structured traveller brief

Dates, party size, ages, interests, pace and budget band are captured and confirmed, including constraints like mobility or dietary needs.

02

Inventory-grounded planning

Itineraries use only activities, hotels and transfers in your catalogue, so nothing is suggested that you cannot actually sell.

03

Travel time and feasibility checks

Driving durations, altitude, daylight and seasonal road status are checked by code, preventing days that look good on paper but are impossible.

04

Alternatives and day swaps

Travellers can ask to make day three more relaxed or add a cultural stop, and the plan is rebuilt while keeping the rest intact.

05

Agent review workspace

The agent sees the draft, the sources behind each item, and can edit before the itinerary is exported to a branded PDF or web page.

06

Quote handoff

Selected components pass to your pricing or booking system, so the plan and the quote reflect the same items.

Planned for

What we get right before launch

Fabricated places and times

Models can invent attractions or misstate hours. We constrain suggestions to your catalogue and verified data, and flag any item lacking a source so an agent checks it.

Safety and advisories

Weather, landslides, permits and security advisories change quickly. We integrate reliable sources where available, show the date of the information, and keep a mandatory agent review before sending.

Seasonality and availability

A beautiful plan is useless if rooms are sold out. We check live availability where partners expose it, and label unconfirmed components as requests, not guarantees.

Stack

Tools and technology

  • OpenAI GPT
  • Anthropic Claude
  • Google Maps Platform
  • OR-Tools
  • Python
  • FastAPI
  • PostgreSQL
  • Next.js
  • Puppeteer PDF rendering
Travel Itinerary AI Development FAQ

Common questions, answered

Can it plan using our own tour packages?

Yes, and that is the recommended approach. We load your packages, hotels and transfers, with durations and rules, so the plans remain sellable and consistent with your pricing and operations.

Will it book anything automatically?

By default it drafts and an agent confirms. Automatic booking is possible with partners that expose reliable APIs, but we advise starting with draft-only, because mistakes in bookings are costly.

How does it handle road closures and seasons?

We include rules and data sources for seasonal closures and advisories, and display the date of that information. These can be wrong or outdated, so the agent review and a note to travellers remain important.

Is it limited to Pakistan?

No. The method works for any destination where you have inventory data. We start with the routes you sell most, because quality depends on the accuracy of the underlying catalogue.

Ready to start your Travel Itinerary AI Development project?

Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.