This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a consumption cadence model to predict customized consumption cadences for user accounts across a wide variety of consumable items and generate dynamic selectable consumption scheduling options for the consumable items using the customized consumption cadences. For example, the disclosed systems predict a consumption cadence for consuming a consumable item that is customized for a user account that interacted with the consumable item. Additionally, in some embodiments, the disclosed systems utilize collective user behavior from user accounts that are similar to the user account to determine a predicted consumption cadence using a consumption cadence model. After determining such a cadence, in some instances, the disclosed systems also display a dynamic selectable scheduling option within a graphical user interface according to the predicted consumption cadence for the consumable item.