Case Study: Fortune 500 Travel Technology Company achieves 99% forecasting accuracy with Tredence automated hotel stay prediction solution

Designed and Implemented a Scalable Automated Solution to Accurately Predict Hotel Stay for a Fortune 500 Travel Technology Company

Tredence worked with a Fortune 500 Travel Technology Company that needed daily-level forecasts of hotel stay nights across 13 brands and 50 countries. The client wanted better visibility into daily business performance and more accurate quarter-level stay predictions for financial planning.

Tredence designed and implemented a scalable automated forecasting solution using a “Cumulative Booked-to-Stay” approach, then adjusted it for holidays and events based on historical booking patterns. The solution delivered 180-day forecasts for every brand-country combination, integrated into the client’s existing system, and enabled real-time performance tracking and cancellation projection. Tredence back-tested the model over two years and achieved 99% accuracy for cumulative 120-day forecasts and over 95% accuracy for daily holiday forecasts.