Abstract: Methods, systems, and apparatus are disclosed to initialize a pharmacy application in a mobile computing device, the pharmacy application configured to prompt a user for a location acceptance via a question prompt notification. The pharmacy application may be launched in a background process of the mobile computing device, without user intervention, wherein the pharmacy application is configured to transmit a location of the mobile computing device and customer identification information to a remote pharmacy computing system, and receive a ready prescription including a pickup location at a predetermined pharmacy location from the remote pharmacy computing system. When the mobile computing device is within a proximity of the predetermined pharmacy location, the pharmacy application may display, on the mobile communication device, an indication that the ready prescription is available at the pickup location.

Abstract: Embodiments are disclosed to detect whether an interaction has occurred between a customer and one or more store employees. By analyzing a how long a communication device used by the customer was within a threshold range of one or more devices worn by store employees, an interaction between the customer and one or more store employees may be identified. Employees whom the customer interacted with may be identified by processing transmission parameters broadcasted by the devices worn by the store employees. Thus, all employees in which a customer interacted with while visiting a store may be identified. The customer may be asked for feedback via the communication device upon detection that a customer has completed a transaction and/or left the store. Using the solicited feedback provided by the customer, various types of reports may be generated.

Abstract: The methods and systems may allow a user to launch a client application on an internet-enabled device, and to subsequently navigate to an image capture screen within the client application. In response to receiving a command from a user, the client application may execute a barcode scanning routine to scan a barcode, and that decodes the barcode into prescription label data. Alternatively, the prescription label data may be manually entered by a user. The automatic data access methods and systems may automatically retrieve prescription status data according to the prescription label data. The prescription status data may be indicative of a prescription from a first pharmacy, a prescription from a second pharmacy, or a prescription that has already been filled. The methods and systems either automatically refills the prescription, automatically generates a prescription transfer request, or automatically generates a prescription already filled message, based on the prescription status data.

Abstract: Systems and methods for tracking mobile device software errors are disclosed. A mobile device, in response to receiving an indication of shaking, may capture error diagnostic information including, for instance, a screen shot, user information, and/or a session log. The mobile device may generate an error report including the error diagnostic information, and may submit the error report to a server after a user authorizes the submission. The mobile device may further subscribe the user to error report tracking, which may include periodically receiving and displaying progress status updates for a software error indicated by the error report. The progress status update may indicate that, for instance, the software error has previously been reported by a second user, that a solution for the software error is pending, or that a solution for the software error has been found.

Abstract: Techniques are disclosed for verifying one or more physical metrics to verify self-checkout procedures. When checking out, a user may scan a barcode for each product and submit an image of the bag that should contain the scanned products. The image is then analyzed to calculate various dimensions that are indicative of a cumulative weight and/or volume of the scanned products. By performing such measurements, an expected range of weights and/or volumes may be calculated and associated with the bag including each of the scanned products. The scanned product barcode data may also be used to lookup information such as weight and volume of each product, and to calculate a total weight and/or volume for all scanned products. These calculated totals may be compared to the expected range of values to verify that all scanned products have been bagged, and thus authenticate the self-checkout process.

Abstract: Embodiments are disclosed to detect whether an interaction has occurred between a customer and one or more store employees. By analyzing a how long a communication device used by the customer was within a threshold range of one or more devices worn by store employees, an interaction between the customer and one or more store employees may be identified. Employees whom the customer interacted with may be identified by processing transmission parameters broadcasted by the devices worn by the store employees. Thus, all employees in which a customer interacted with while visiting a store may be identified. The customer may be asked for feedback via the communication device upon detection that a customer has completed a transaction and/or left the store. Using the solicited feedback provided by the customer, various types of reports may be generated.

Abstract: Systems and methods for tracking mobile device software errors are disclosed. A mobile device, in response to receiving an indication of shaking, may capture error diagnostic information including, for instance, a screen shot, user information, and/or a session log. The mobile device may generate an error report including the error diagnostic information, and may submit the error report to a server after a user authorizes the submission. The mobile device may further subscribe the user to error report tracking, which may include periodically receiving and displaying progress status updates for a software error indicated by the error report. The progress status update may indicate that, for instance, the software error has previously been reported by a second user, that a solution for the software error is pending, or that a solution for the software error has been found.

Abstract: Embodiments are disclosed to detect whether an interaction has occurred between a customer and one or more store employees. By analyzing a how long a communication device used by the customer was within a threshold range of one or more devices worn by store employees, an interaction between the customer and one or more store employees may be identified. Employees whom the customer interacted with may be identified by processing transmission parameters broadcasted by the devices worn by the store employees. Thus, all employees in which a customer interacted with while visiting a store may be identified. The customer may be asked for feedback via the communication device upon detection that a customer has completed a transaction and/or left the store. Using the solicited feedback provided by the customer, various types of reports may be generated.