The Solution

Our partner was looking for skilled Python developers to join their distributed team in coming up with a predictive airfare calculation tool. Within the framework of the collaboration, our team worked on developing a pricing solution that would utilize all of an air carrier’s real-time and historical data (flight schedules, seat availabilities, fare structures, promotional calendars, etc.) in order to calculate fares dynamically.

By leveraging machine learning capabilities, we created a solution that takes into account all possible circumstances at the time of an airfare request, such as market conditions and the buyers’ specific behavior in order to produce a highly customized price.

By anticipating the buyers’ willingness to pay for not only in-air but also non-air products and services, the solution calculates the dynamic price as well as combines it into lucrative bundles for customers (e.g. hotel deals, event tickets, etc.), thereby boosting customer experience.