Fare, booking and operations data your commercial teams can actually use
Airlines, OTAs and travel groups sit on some of the fastest-moving data in any industry. Most of it reaches decision makers late, through analysts and spreadsheets. We make it governed, consistent and available in plain language.
Focus markets: UAE · UK
The problems that come up most
Pricing decisions wait for analysts
Fares, competitor movements and booking curves change by the hour, but answers arrive in the next day's report.
Commercial data lives in silos
Bookings, ancillaries, loyalty, distribution and schedule data sit in separate systems with different definitions of the same thing.
Disruption is handled by hand
When schedules change, operations and customer teams piece together impact from several tools instead of one view.
AI pilots that don't reach production
Forecasting and assistant pilots stall because nobody trusts the underlying fare and booking data.
What we do about it
- Curated data models for fares, O&D pairs, booking classes, ancillaries and schedules
- A semantic layer for revenue management and commercial metrics
- Natural-language access with Databricks Genie, answered in Slack or Teams
- Agents for fare monitoring, competitor alerts and disruption impact
Regulation we design for: UAE PDPL, DIFC Data Protection Law, UK GDPR and EU GDPR for passenger data.
Questions your teams could ask
- Which routes out of DXB saw the biggest competitor fare drops this week?
- How does our booking curve for LHR next month compare with the same period last year?
- Which flights have ancillary revenue per passenger below target?
Illustrative. Answered from your governed data, in Slack, Teams or your own tools.
Find out how ready your data is
Start with the free scorecard, or book a call to talk through a specific use case.