Cost optimization is crucial in travel, and especially for airlines. The ‘no show’ phenomenon is one of the most common problems. How many seats should you oversell for a specific flight? How do you make sure that you have no empty seats, and no passengers are left behind? The devil is in the details… or rather the data. Our solutions can take all historical passenger data into account, group passengers by multiple factors, and predict with [how much] accuracy the rate of no shows.