The client needed daily level forecasts of Hotel Stay Nights for its 7 brands and 50 countries for
We solved this problem with a 2-step approach.
We back-tested the model for two years and achieved an accuracy of 99% for the cumulative 120 days forecast. The accuracy of daily forecast for holidays was over 95%.
The client now has additional leverage on discussions with brands on projections and expectations for the quarter.