How data science and machine learning helped American Airlines cut its gate-planning time and reduce its annual fuel consumption
MACHINE learningARTIFICIAL intelligenceWEB-based user interfacesCUSTOMER satisfactionFlight delays are a major concern for both travelers and airlines, with significant financial and reputational consequences. Accurately predicting flight delays is crucial for enhancing customer satisfaction and ...
Ride-sharing apps like Uber and Lyft use machine learning for their dynamic pricing at times when demand is high. Airlines, hotels and e-commerce platforms also use dynamic pricing models to adjust prices in real time, often resulting in higher profits. Two of the main ways machine learning c...
Airlines have built-in redundancy by rostering flight crew on standby, who can be called to operate a flight at short notice. Rostering on standby crew has a direct cost impact for the airline, and the researchers aimed to address in their study. Is it possible to predict how many s...
Machine learning optimises transportation networks, predicts customer behaviour, and provides tailored services to improve the passenger experience. Airlines can optimise operations, improve loyalty, and increase revenue by analysing passenger data (Akerkar, 2014; Duraisamy et al., 2019; Brunton et al.,...
This Machine Learning tutorial is for anyone who wants to learn about machine learning. No prior knowledge of machine learning is required. Read the tutorial to learn more about machine learning.
Baggage and luggage: using analytics for just-in-time operations One key area where transformational technologies are making an impact now for airports, airlines and ground handlers is by better tracking the billions of bags that are transported every year. This technology is already r...
The combination of Sabre’s travel expertise with Google Cloud’s infrastructure and artificial intelligence capabilities, Sabre Travel AI allows machine learning models to be integrated into existing and future Sabre products faster, and with more scalability, than ever before....
atmosphere Article Machine Learning-Based Fog Nowcasting for Aviation with the Aid of Camera Observations Juraj Bartok 1,2, Peter Šišan 1 , Lukáš Ivica 1 , Ivana Bartoková 1, Irina Malkin Ondík 1 and Ladislav Gaál 1,* 1 MicroStep-MIS, Cˇ avojského 1, 841 04 Bratislava, ...
with them that are available 24×7. An example of this is Eva from AirAsia airlines. These bots provide intelligent answers and sometimes you might even not notice that you are having a conversation with a bot. These bots use Machine Learning, which helps them to provide a good user ...