Fast-and-Fit: An Intelligent Auto-Pricing System for Airlines Travel Agencies

This paper proposes an auto-pricing system, known as Fast-and-Fit. This system is intended for travel online agencies, who always aim at varying the ticket prices to optimize the possible revenue. This system is developed based on the two following intelligent techniques. Firstly, a pattern mining algorithm is deployed to quickly identify flight routes attracting much load factors from a very large dataset of flight information. Thus, our system can work necessarily fast as it does not need to further handle the whole dataset. The second technique is enhanced from the HMM machine learning algorithm to automatically change the prices of the processed flights. The goal of this technique is to offer reasonable prices by taking into accounts statistical information observed from searching and booking information.