Abstract: The present disclosure describes a computer system that automatically prepares mobile devices. The computer system includes a memory and a processor. The processor determines, based on an image of a checkout area, at least one of a wait time or a number of people at the checkout area, loads, based on at least one of the wait time or the number of people exceeding a threshold, a first application on a mobile device, and instructs that the mobile device use the first application at the checkout area.

Abstract: Methods and apparatus for dynamic pricing adjustment and inventory optimization are provided. Stock level data is received via a camera, where the stock level data comprises an estimated stock level of a product batch within a physical site. Product information for the product batch is retrieved from a database, where the product information comprises an expiration date and a first price for the product price. A second price for the product batch is calculated using a machine learning (ML) model based on the expiration date and the estimated stock level. The database is updated with the second price for the product batch.

Abstract: Method and apparatus for data synchronization are provided. An updated value for a physical item for sale in a space is identified, and the updated value is transmitted to a shelf input/output system. One or more delay criteria are determined based on comparing the updated value and a prior value for the physical item. Confirmation that the updated value has been implemented by the shelf input/output system is received. A transaction system is updated based on the updated value in accordance with the one or more delay criteria and the confirmation.

Abstract: Techniques for media processing and item recognition are provided. A digital media is received from a user. Objects depicted within the digital media are identified. Items currently available at a physical location are determined by analyzing information collected by a set of cameras at the physical location. A set of target items, from the items currently available at the physical location, that are similar to at least one of the objects are identified based on the digital media and the collected information. A guidance that navigates the user to at least one of the set of target items within the physical location is generated.

Abstract: Techniques for intelligent system optimization are provided. Capacity data of one or more exit devices at a physical location is received. Demand data that indicates a current demand for exit service at the physical location is received from one or more monitoring devices. A decision is generated based on the capacity data and the demand data using a machine learning (ML) model. Commands corresponding to the decision are transmitted to the one or more exit devices for implementation.

Abstract: The present disclosure provides techniques for graphics translation. A subset of a plurality of natural language image descriptions for an image of a product is received. A set of shared natural language descriptors is identified in the subset of the plurality of natural language image descriptions. The set of shared natural language descriptors is aggregated, and a description for the first image is generated based on the aggregated set of shared natural language image descriptions.

Abstract: The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.

Abstract: A method and system are provided for validating a promotional token redeemed at a Point-of-Sale (PoS) terminal, can include receiving, at the Point of Sale (PoS) terminal located at a physical retail location, a promotional token ID from a mobile device associated with a customer. The promotional token ID can be configured to uniquely identify a promotional token to promote a consumer packaged good (CPG) distributed on a social media platform. A CPG is entered at the PoS terminal to determine a CPG ID configured to uniquely identify the CPG. Next, a validation request is generated. The validation request comprises the promotional token ID and the CPG ID. The validation request is then transferred to a server having access to a private blockchain ledger. Upon completion, the PoS terminal will receive, from the server, the redemption status for the promotional token ID based on information stored in the private blockchain ledger responsive to the validation request.

Abstract: The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.