Travel companies have to plan extensively to optimize their expenses. They utilize significant manpower and time to execute the trips. A better understanding of customer behavior would help them to avoid last-minute cancellations and also to reduce the costs. Travel companies have an extensive database of customers' personal and trip information and their browsing activity information, which can be mined for valuable insights.
This white paper covers how Machine Learning helps travel companies to identify customers who are most likely to cancel their trips after registration.