One of the oldest established travel companies in the world, the client’s roots go back to British rule. From weekend gateways to the month-long expedites, the client has gained recognition for their meticulous tour planning and delightful tour experience. With an abundance of awards, the travel leader is planning to start offices in Africa and Asia.
In the preliminary examination of our client’s problem, we found that they had no reference data to predict the cancellation. They didn’t gather the analytics insights like what people with which age group, demographics, and income group have canceled the tickets more in the past. Also, they were without any analysis about which season and which destination saw more cancellations. Resultantly, this made it impossible for the client to create the “most-probable-cancellation-scenario”.
To overcome it, we began with data preparation and data analysis and created a phased customer scoring model including Profiling, Modeling, and Measurement which were tailed by data analysis phase.
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