When it comes to pricing and determining flight fares, uncertainty plays a vital role. From the customers' point of view, these parameters are always fluctuating and also differ significantly from one provider to the other.

For companies, it is difficult to keep track of these parameters and develop their strategies. This emphasizes the need for smart analytics tools to fetch and process this information quickly and present interactively for timely decision making.

Data analytics and machine learning algorithms can retrieve massive datasets about past travel fare and pricing along with current trends. These technologies can process this data in no time to deduce future demand growth, predict pricing trends, and formulate enticing deals and offers.