Abstract: Systems and methods for determining whether and how to present digital animations in a user interface are disclosed. According to certain embodiments, the systems and methods may facilitate the identification of a set of products or services purchased by an individual, and the determination of a reward level associated with the set of products or services. The systems and methods may select a digital animation, from a set of digital animations that is predetermined based on a set of probabilities, corresponding to the reward level, and present the digital animation in a user interface.

Abstract: Systems and methods for using machine learning to extract data from electronic communications are disclosed. According to certain aspects, a machine learning model is trained on a set of tasks using a set of training data. An electronic communication indicating a purchase of a product and/or service is processed to generate augmented text that is input into the machine learning model. After analyzing the augmented text, the machine learning model outputs a set of predicted values for a set of defined categories, which an entity may use for various purposes such as to apply digital rewards to user accounts.

Abstract: Systems and methods for using machine learning to determine product offers for individuals are disclosed. According to certain aspects, the systems and methods may determine, using a machine learning model and based on a set of products purchased by a user, a set of digital offers associated with an additional set of products to provide to the user. The user may redeem any of the digital offers, and the systems and methods may use any additional product purchase information to update the machine learning model for use in subsequent analyses.

Abstract: Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.

Abstract: Systems and methods for determining whether and how to present digital animations in a user interface are disclosed. According to certain embodiments, the systems and methods may facilitate the identification of a set of products or services purchased by an individual, and the determination of a reward level associated with the set of products or services. The systems and methods may select a digital animation, from a set of digital animations that is predetermined based on a set of probabilities, corresponding to the reward level, and present the digital animation in a user interface.