Nowadays, companies are actively endeavoring to adjust their strategies in response to the dynamic patterns of customer behavior, thereby embracing the utilization of artificial intelligence as a means to accomplish this objective. Given the increasing necessity for individualized communication to capture customer attention, the utilization of artificial intelligence emerges as a crucial factor in optimizing marketing strategies. This study primarily centers on the creation and implementation of a machine learning model aimed at forecasting the optimal day and hour for sending smart SMS marketing campaigns. Additionally, it encompasses an extensive examination and preprocessing of the dataset’s data. The dataset utilized in this study originates from an authentic corporate entity, and has been employed for the purpose of training the model to generate predictions that are applicable within a real-world context.