Abstract: A returned goods processing system may include a camera configured to acquire human pose image data of a given user while processing a returned item. The system may also include a returned goods processing server configured to store reference human pose image data of sample users while processing returned items. The stored human pose image data may be indicative of compliance with an acceptable return processing procedure. The returned good processing server may also be configured to compare the acquired human pose image data with the stored reference human pose image data to determine compliance with the acceptable return processing procedure, and generate a notification based upon the comparing. The returned goods processing server may also be configured to perform machine learning to update the stored reference human pose image data based upon the acquired human pose image data.

Abstract: A product exchange system may include a first purchaser device associated with a first purchaser, and a second purchaser device associated with a second purchaser having a shipping address. The system may also include a product exchange server configured to obtain image data of a purchased product for return from the first purchaser device, and determine, using a machine learning algorithm, a product condition of the purchased product for return based upon the obtained image data. The server may also determine, using the machine learning algorithm, a resale price of the purchased product for return based upon the determined product condition, and operate an electronic marketplace for resale of the purchased product for return at the resale price. The server may also communicate the shipping address to the first purchaser device based upon a purchase of the purchased product for return by the second purchaser in the electronic marketplace.

Abstract: A computer-implemented system and method is disclosed for inventory management including an inventory machine, a medication tray, and at least one marker. A medication tray includes a plurality of compartments to receive medications and other items, where each compartment is designated as a receptacle for a specific item or type of item. A marker is provided for each item placed in a compartment, and insertion of a medication tray into an inventory machine enables components to scan for markers. The markers are configured to generate identifying data and other data related to an item upon being scanned by an imaging apparatus and processed by a decoder apparatus. The correct/incorrect location of items within a medication tray, among other information, is determined in an automated fashion as part of the computer-implemented inventory management system and method.

Abstract: A recalled product detection and notification system may include a camera device positioned to capture image data of consumable products and communicate associated image data via the cloud. The system may also include a recalled products server that may include a memory for storing product category data associated with recalled products and product identifier data associated with the recalled products, and a processor coupled to the memory. The processor may be configured to communicate via the cloud with the camera device and download image data therefrom, and determine if the image data corresponds to a product category of recalled products based upon the product category data, and when so, generate a first user notification. The processor may also be configured to determine if the image data corresponds to a recalled product based upon the product identifier data, and when so, generate a second user notification.

Abstract: A recalled item notification system may include a retailer server configured to operate a virtual shopping cart for products to be purchased by a purchaser. Each product may have an associated product identifier. The system may also include a recalled item server configured to, when a product for purchase is in the virtual shopping cart, obtain the associated product identifier for the product and determine if the product is subject to a recall based upon the product identifier. When it is determined that the product is subject to a recall, the recalled item server is configured to communicate with the retailer server to remove the product from the virtual shopping cart, and generate a notification that the product is subject to the recall and that the product has been removed from the virtual shopping cart.

Abstract: A system, a method, and computer readable medium for storing and displaying user-selected returned goods information for a retailer having a plurality of stores and a plurality of vendors. The system, method and computer readable medium includes a computer database of returned goods information for a retailer having a plurality of stores and a plurality of vendors. A user interface receives at least one condition for displaying user-selected returned goods information for one or more of the plurality of stores or one or more of the plurality of vendors. The system, method and computer readable medium determines whether the condition for displaying the returned goods information is satisfied for each of the plurality of stores and each of the plurality of vendors. The system, method and computer readable medium displays returned goods information for which the condition is met for each of the plurality of stores and each of the plurality of vendors.