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Abstract

Systems and methods are directed to managing reservation modifications using machine-learning analysis. The system trains a modification probability model to determine probabilities for modification option acceptance. The system performs machine learning analysis by applying attributes associated with an item to the modification probability model to generate modification recommendations. Modification options are established for the item based on the modification recommendations. Subsequently, in response to a modification request from a customer, a modification user interface is provided to the customer using the modification options. The modification user interface includes blocked off time periods that cannot be selected and available time periods for modification along with a fee associated with each available time period. If an alternative start time or end time (e.g., an available time period) is selected, the system processes the selection and provides a confirmation to the customer.

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