Abstract: A system and a method are disclosed for classifying shorthand item descriptors in accordance with an enterprise catalog. An enterprise data management system uses one more models to determine items in the enterprise catalog that match a shorthand descriptor of an item. Shorthand item descriptors may originate from various transaction data such as at point-of-sale (POS) machines or online ordering systems. The enterprise data management system uses a first model to determine a normalized representation of the shorthand item descriptor. The enterprise data management system furthers used a second model to classify the normalized representation as one or more items included in the enterprise catalog, where the second model is trained through a supervised machine learning process using data corresponding to an enterprise catalog of one or more particular enterprises.

Abstract: A system and a method are disclosed for adjusting communication settings based on user segmentation. An activity-based communication management system retrieves behavioral and demographic data of at least one user. The system inputs the behavioral data and the demographic data into machine learning models. For each of the machine learning models, the system receives a respective activity parameter characterizing a predicted activity occurring within a time window. The system determines, based on the received activity parameters, a category to which the behavioral data and demographic data belong. The system subsequently adjusts a plurality of communication settings based on the determined category. The activity-based communication management system may provide user segmentation using both empirical activity parameters (e.g., historical behavioral data) and predicted activity parameters.

Abstract: A system and a method are disclosed for tracking user activity with products in an environment. In an embodiment, a processor detects that a user has entered an environment, and responsively uniquely identifies the user. The processor determines that the user interacts with a product of a plurality of products within the environment, and responsively updates a profile of the user with indicia of the product. The processor determines whether the user is attempting to exit the environment, and, in response to determining that the user is attempting to exit the environment, prompts the user to confirm that the user intends to remove the product from the environment based on the updated profile. The processor receives input from the user confirming that the user intends to remove the product from the environment, and responsively further updates the profile based on the input.

Abstract: A system and a method are disclosed for tracking user activity with products in an environment. In an embodiment, a processor detects that a user has entered an environment, and responsively uniquely identifies the user. The processor determines that the user interacts with a product of a plurality of products within the environment, and responsively updates a profile of the user with indicia of the product. The processor determines whether the user is attempting to exit the environment, and, in response to determining that the user is attempting to exit the environment, prompts the user to confirm that the user intends to remove the product from the environment based on the updated profile. The processor receives input from the user confirming that the user intends to remove the product from the environment, and responsively further updates the profile based on the input.