Abstract: Methodologies, systems, and computer-readable media are provided for dynamic virtual data analysis. A first subset of performance metric data relating to a number of facilities is compared between at least two of the facilities to generate a first level comparison. A second subset of the performance metric data associated with two or more sections of at least one facility is compared to generate a second level comparison. A processor generates a graphical representation of the first level comparison and the second level comparison. A user electronic device can receive input from a user to dynamically navigate between a rendering of the graphical representation of the first level comparison and a rendering of the graphical representation of the second level comparison. The user can also modify the first subset of data or the second subset of data to update the first level comparison or the second level comparison.

Abstract: A system and method for voucher management comprise receiving and processing data including a rule regarding use of a voucher; generating a filtered result from the processed data; and modifying contents of a computer display output in response to the filtered result.

Abstract: Methodologies, systems, and computer-readable media are provided for dynamic virtual data analysis. A first subset of performance metric data relating to a number of facilities is compared between at least two of the facilities to generate a first level comparison. A second subset of the performance metric data associated with two or more sections of at least one facility is compared to generate a second level comparison. A processor generates a graphical representation of the first level comparison and the second level comparison. A user electronic device can receive input from a user to dynamically navigate between a rendering of the graphical representation of the first level comparison and a rendering of the graphical representation of the second level comparison. The user can also modify the first subset of data or the second subset of data to update the first level comparison or the second level comparison.

Abstract: A shopping cart communication system comprises a shopping cart including a head up display, the head up display operable by a mobile electronic device and a retailer application executed on the mobile electronic device that communicates with the head up display, and generates display data for output to and display at the head up display.

Abstract: Machine learning methods and systems are provided. A machine learning system receives item-descriptive data corresponding to a plurality of uncategorized items and programmatically associates, based on the item-descriptive data, each of the uncategorized items with a user account. The system compares, by a machine learning algorithm, the item-descriptive data with existing item-descriptive data corresponding to a number of previously categorized items and automatically decides to which of one or more item categories the uncategorized data should be assigned based on dynamically learned behavior, the one or more item categories being defined in the user account. The system automatically assigns, based on the comparison and decision, each of the plurality of uncategorized items to the one or more item categories to generate a plurality of newly categorized items and adds the automatic item category assignments and corresponding newly categorized items to the number of previously categorized items.