Industries
Travel
Demand, disruption and loyalty analytics for travel businesses.
Overview
Travel companies manage perishable inventory and are exposed to disruption. Forecasting, pricing and recovery decisions benefit from timely data and clear scenarios.
Common challenges
- Perishable inventory and dynamic pricing
- Disruption from weather and operations
- Fragmented booking and loyalty data
- Maintenance and turnaround scheduling
Where AI and data science help
Demand and revenue forecasting
Forecasts that handle seasonality and events.
Disruption recovery
Simulate recovery options and their cost.
Loyalty analytics
Understand traveller segments and value.
Maintenance planning
Schedule using condition and utilisation data.
Typical data sources
- Booking and fare data
- Operations and schedules
- Loyalty records
- Weather and event data
Responsible use
Passenger data is handled under applicable privacy law and your own policies.
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.