INTERVALS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES

The disclosed embodiments relate to computer-implemented systems and processes that facilitate a prediction of occurrences of product-specific events during targeted temporal intervals using trained artificial intelligence processes. For example, an apparatus may generate an input dataset based on elements of first interaction data associated with an occurrence of a first event. Based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate an element of output data representative of a predicted likelihood of an occurrence of each of a plurality of second events during a target temporal interval associated with the first event. The apparatus may also transmit the elements of output data to a computing system, which may perform operations that are consistent with the elements of output data.