Guest Churn Prediction

AI identification of guests who may not return due to dissatisfaction, reduced engagement, price sensitivity, poor service recovery, or changing behaviours.

Hotel Example: A loyalty team identifies guests whose stay frequency is dropping and sends targeted offers before they defect to another brand.