Revenue
Management
System (RMS) — is a key element in increasing revenue and profit for any airline.
Thus, current RMS are outdated and have a backward technology stack
MARKET’S PROBLEM
Systems can only use its own historical data, accumulated by an airline
The ”one-size-fits-all” approach
Very expensive to use, constant license fees regardless of RMS performance
Large corporations take a long time to respond even under a service agreement
We have a solution, based on cutting edge AI technology, to meet airline’s demands
OUR SOLUTION
The Airline Fares Intellectual System is a software as a service (SaaS) that uses all available internal and external data and Deep Learning algorithms to deliver exceptional return on investment and payback.
Airline Fares Intellectual System
Based on artificial intelligence and deep learning algorithms, AFIS is an intelligent system for processing statistics of flight bookings and tracking changes in flight fares (airline’s own ones and competitors’) to determine the elasticity of demand for tickets and prediction of passenger’s response to fare changes.
AFIS complements existing RMS systems
Pricing recommendations based on the most advanced machine learning technologies
Can be fully customized and adapted to the needs of an airline by selecting a relevant and optimal set of algorithms
Uses the entire array of available external and internal data
Complements legacy RMS systems by providing more accurate forecasts
EXAMPLE
Based on the mix of own airline data and external data about competitors, the system generates recommendations for changes in revenue and determines the window of opportunity to increase or decrease fare for the specific O&D