Work · Travel · 2023
A hotel booking platform, fed by Booking.com and AI extraction
An end-to-end booking platform with Booking.com inventory sync, deep filtering parity, and AI-powered reservation parsing for inbound supplier PDFs.
The job
3 on the team,
12 weeks.
- Client
- Direct
- Sector
- Travel
- Year
- 2023
- Role
- Tech Lead
Brief and outcome
What was needed.
Direct Hotels needed a booking surface that competed on filtering depth with Booking.com itself, while also accepting reservations from a long tail of suppliers who send PDFs in a dozen languages. We led the rebuild — Booking integration, deep filters, and the AI pipeline that automated supplier intake.
What came of it.
The booking team got a UI as deep as the OTAs they compete with, plus an automated pipeline for the messy supplier-PDF problem that previously took hours of manual entry per day.
What was built
5 parts,
shipped.
A selection of projects shipped through Syntorium and our CTO's prior engagements.
Booking.com static-data sync
Periodic delta refreshes and a local cache so search stays snappy even when the upstream is slow.
Filtering parity
With Booking.com's surface — price, geography, amenities, ratings — implemented as a structured query layer with shareable URLs.
Inertia.js frontend
For the engine of the user experience, keeping the SPA feel without giving up server-side rendering for SEO.
AI-powered reservation parsing
The same pipeline that became its own portfolio entry, wired into supplier intake: PDF in, structured booking out.
Operations dashboard
Override tooling for support — refunds, force-cancels, supplier escalations.
More work
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Sunday to Thursday, 09:00–18:00, GMT+4. Remote engineers cover the EU and the US asynchronously. We work in English, Arabic and Urdu.
