Learn How Xebia implemented machine learning and optimization mechanism to compute a score for each flight based on certain parameters.
What all steps helped the business in taking decisions and prioritizing inbound and outbound flights?
The Xebia team devised a mechanism to compute the value score of each flight based on various passenger parameters such as age, gender, loyalty tier (if any), number of infants, number of medical case/wheelchairs, number of first/business/economy passengers, connection flight timing details of connecting passengers etc. Clustering algorithm were used to segment flights into five profiles and each profile was validated with business users to arrive at the priority order.
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Key Benefits
• Improved and accurate decision making• Better customer experience
• Improved traffic handling capability
• Reduced airline operating cost due to real-time decision making
