Application of Generative AI in demand forecasting for Airline Revenue Management

Demo session AI Application

2024-02-08 | 10:30 AM - 11:00 AM | Demo Stage 2


In Airlines Revenue Management Systems (RMS), the quality of travel demand forecasting significantly impacts airline revenues. Recently, Amadeus RMS introduced a new hybrid approach combining traditional knowledge-based analytical models and Machine Learning models to solve the demand forecasting problem.
This new approach opens the door to further improve the demand forecasting model by using new data sources, which had not been already used in the industry.
In this talk, we will investigate the idea of extracting knowledge from Large Language Models, which have been pre-trained on vast amounts of data. We will show how to build, explore, and integrate this new source of information into the hybrid forecasting model.