Chroma Predict - Dynamic Passenger Demand Forecasting

Airports are highly dynamic environments, with large variations in the number of passengers arriving and departing throughout the day, and at different times of the year. To manage and process passengers, airports need to deploy large numbers of staff and equipment to the correct locations and tasks throughout the airport.

By accurately forecasting the passenger numbers within each operational day, airports can significantly improve their operational efficiency, as operational decisions are made on a robust, reliable forecast.

ChromaPredict is a proven demand forecasting tool that is used at some of the largest and most complex airports in the world. Data is fed into ChromaPredict from multiple sources including ChromaAODB, historical and future flight schedules, passenger transfer messages, the flight data warehouse and augmented Bluetooth- & WiFi-based tracking of passenger movements via ChromaACDB. This data enables the advanced forecasting techniques of ChromaPredict to create a highly accurate picture of passenger and baggage flows within each day throughout the airport, resulting in a robust and reliable vision of your future operational demands.

ChromaPredict, via integration with ChromaBilling, also enables airport operators to accurately model long-term passenger numbers and associated aviation income based on historical and current operational data – accurately forecasting long-term revenue generation potential via sophisticated income tariff modelling and replicating billing rules and what-if scenarios.

ChromaPredict is utilised at some of the world's largest and busiest airports including London Heathrow, London Gatwick, Oslo Gardermoen and across Manchester Airports Group.

Selected ChromaPredict Customers: