Airline ticket price and demand prediction: A survey

Nowadays, airline ticket prices can vary dynamically and significantly for the same flight, even nearby seats within cabin. Customers are seeking to get lowest price while airlines trying keep their overall revenue as high possible maximize profit. Airlines use various kinds of computational techniques increase such demand prediction discrimination. From customer side, two models proposed by different researchers save money customers: that predict optimal time buy a minimum price. In this paper, we present review side models. Our analysis shows on both sides rely limited set features historical data, purchase date departure date. Features extracted from external factors social media data search engine query not considered. Therefore, introduce discuss concept using ticket/demand prediction.