Friday, May 31, 2024 With over 100,000 customers carried daily on more than 1,000 flights, Air France generates a vast amount of data. Optimizing the use of this data to enhance performance is a strategic priority for the airline, alongside a fundamental commitment to protecting the data of the company and its customers. This focus on data is not new.
In 1958, Air France established an operational research department to foster and structure innovation within the company, adapting to the technological advancements of an ever-evolving industry. Recognizing data as a valuable asset early on allowed the airline to better understand customer behavior. This laid the groundwork for the expansion of revenue management in the 1990s, utilizing historical data and trend identification.
In the early 2000s, the airline applied this data-driven approach to maintenance with the development of the predictive maintenance solution, Prognos. This tool, now used by over 80 airlines worldwide, marked Air France’s entry into the realm of predictive and prescriptive artificial intelligence. Since then, AI has become integral to all Air France research and innovation programs, enhancing various stages of the customer journey.
From chatbots to tools predicting the number of bags and meals on board, calculating water requirements, and eco-piloting systems that optimize flight trajectories to reduce fuel consumption, AI is employed to optimize operations and resources, anticipate needs, and facilitat.
