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Hotel Bookings Predictions

BRAND

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INN Hotels Group has a chain of hotels in Portugal.

PROBLEM

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INN Hotels are facing problems with the high number of booking cancellations. A significant number of hotel bookings are called off due to cancellations or no-shows. 

INSIGHTS + CHALLENGES

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This is often made easier by the option to do so free of charge or preferably at a low cost which is beneficial to hotel guests but it is a less desirable and possibly revenue-diminishing factor for hotels to deal with.

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Such losses are particularly high on last-minute cancellations.

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​The new technologies involving online booking channels have dramatically changed customers’ booking possibilities and behaviour.

SOLUTION​

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Tree-based ML models such as Decision Trees and Random Forests can help us in:

  1. Identifying drivers for bookings, including peak months and booking channels

  2. Predicting likelihood of cancellations ahead of time

  3. Assisting in the creation of informed profitable policies for cancellations/refunds

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