Walmart Apollo, LLC

L'oreal

Ian Stansell

Steven Lewis

Scott Lewis

Brandon Everett Howard

Examples provide customized augmented reality item filtering. An item filter analyzes item data using selection criteria and user preferences to identify high-interest item(s) and/or low-interest item(s) within a field of view (FOV) of a user device associated with a user. A high-interest item can include an item physically present within a portion of an item selection area or an un-stocked item not physically present within the portion of the item selection area. An augmented reality (AR) generator creates an AR image including a real-world image of the portion of the item selection area overlaid with graphical elements, including positive item indicators associated with high-interest items, negative item indicators associated with low-interest items, and/or un-stocked virtual items. The AR image is updated in real-time in response to user input, promotional data associated with one or more filtered item(s), and/or changes associated with the items within the FOV of the user device.

Customized augmented reality item filtering system

Systems, methods, and machine readable medium are provided for improving access to electronic data. An application is provided that generates a graphical user interface on a first client device requesting the server-based application via a web browser on the first client device. Credentials from a user of the first client device. After authorization of the user credentials, input from the user is received via the graphical user interface indicating an URL for a website, a file path for a document, and text. The entered input is stored in a local browser cache on the first client device and in a remotely-located database as being associated with the user credentials. Subsequently, a display is generated on the first client device, by the application, of electronic data related to the entered input.

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Bentonville, AR, United States of America

Ian Stansell