A first computing device for product recall management is provided. The first computing device may include a display screen which displays a user interface (UI), and circuitry communicably coupled to a server, and the display screen. The UI may display UI elements for a plurality of products purchased by a first user. The circuitry may transmit product information associated with a product to the server. The circuitry may receive, from the server, recall information associated with the product, indicative of a recall initiated by a manufacturer or a dealer for the product. The circuitry may control the display screen to change a display characteristic of a UI element of the product, and one or more requests associated with the product based on the recall information. The one or more requests may include at least one of: a rent request, an exchange request, or a sale request for the product.

A method includes receiving information indicative of a first vehicle identification number (VIN) for a first vehicle, determining that the first vehicle includes a first recalled component by comparing the first VIN to information in a recall database stored in a memory of an auditing system, receiving first image data generated by a mobile device, the first image data being reproducible as a first image of the first VIN on the first vehicle and associated with a first location of the mobile device, receiving second image data generated by the mobile device, the second image data being reproducible as a second image of at least a portion of the first recalled component and associated with a second location of the mobile device, and validating a status of the first recalled component by comparing the first location of the mobile and the second location of the mobile device.

A system for processing exception event request to identify defective product includes one or more processors configured to receive, from a customer device, an exception event request associated with a product included in an order, the received exception event request comprising a product identifier. Access database to identify a number of exception event requests associated with the product identifier stored in the database. Determine when the number of exception event requests associated with the product identifier exceeds a predetermined threshold number of exception event requests for the product identifier. In response to determining that the number of exception event requests associated with the product identifier exceeds the predetermined threshold number of exception event requests, identify the product as a defective product.

The present disclosure is also directed to a system for managing inventory within a dispenser that is configured to maintain a known inventory and is configured to transmit inventory values from the dispenser so that other users can review the inventory values. Also, the dispenser is configured to be accessed by users locally and through an internet connection so that the inventory can be reviewed.

A method for conveying auditable information regarding provenance of a product that is cryptographically accurate while retaining complete anonymity of product and participant on a blockchain includes: receiving a product identifier; generating a digital token by applying a hashing algorithm to the product identifier; generating an entry value by applying the hashing algorithm to a combination of an event identifier and the digital token; generating a digital signature by digitally signing a data package using a private key of a cryptographic key pair, where the data package includes at least a blockchain address, the event identifier, and the digital token; and transmitting the blockchain address, the digital signature, and the entry value to a node in a blockchain network.

Embodiments manage the recall of a healthcare product that includes a plurality of healthcare parts. Embodiments capture a recall notice for the healthcare product. Embodiments initiate by a locate engine a background process for locating each of the healthcare parts. Embodiments locate each of the healthcare parts using product traceability, where each the healthcare parts includes a traceability status of Periodic Automated Replenishment (“PAR”), in stock, expense, or inbound. Based on the product traceability, embodiments generate a sequence of tasks based on the traceability status, the tasks implementing a recall action. Embodiments monitor the completion of the tasks to verify that the recall notice can be closed.

A system for determining authenticity of an item includes a processor and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the system to assign a unique identifier to an item, generate a digital signature of the unique identifier of the item using a private key of a producing organization, generate a scannable code based on the generated digital signature and/or a base 64 encoded form of the generated digital signature, and embed in the item the scannable code and the unique item identifier, a name of the producing organization, and/or a public key server URL.

A method for conveying auditable information regarding provenance of a product that is cryptographically accurate while retaining complete anonymity of product and participant on a blockchain includes: receiving a product identifier; generating a digital token by applying a hashing algorithm to the product identifier; generating an entry value by applying the hashing algorithm to a combination of an event identifier and the digital token; generating a digital signature by digitally signing a data package using a private key of a cryptographic key pair, where the data package includes at least a blockchain address, the event identifier, and the digital token; and transmitting the blockchain address, the digital signature, and the entry value to a node in a blockchain network.

Methods and systems for buyback provisioning. A risk level for each of a plurality of items at risk of losing market value is computed and the plurality of items at risk of losing market value are differentiated based on the corresponding risk levels. An identity of candidate substitute items is learned by communicating with a distribution system and one or more of the candidate substitute items to exchange for one of the plurality of items are identified based on one or more contextual factors. An exchange of the item and at least one of the candidate substitute items is facilitated, the facilitating comprising highlighting the item on a graphical user interface to indicate that the item is losing value or is at risk of losing value.

One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.