G06Q30/014

DIGITAL TWIN MATURATION TRACKING
20210096975 · 2021-04-01 ·

Track transformations of mature digital twins from time of creation to decommissioning of the physical asset. As physical assets evolve, changes, repairs, maintenance and services relevant to the physical assets originally provided, can be applied or deemed inapplicable in the current state. Mature digital twins are leveraged to identify proposed changes to physical assets and compare original digital twins of the base asset to determine whether deviations over time render the proposed changes irrelevant. Irrelevant changes, due to deviations from the original digital twin, are further analyzed to determine whether the irrelevancy is due to a previous action performed on the physical asset and update to the mature digital twin. Previous updates to physical assets, reflected in the mature digital twin, can be eligible for rebates and incentives where the asset owners performed actions that render proposed updates irrelevant, while relevant changes are approved and permeated to mature digital twins.

Supply chain management using mobile devices

A method for supply chain management using mobile devices with a server on an electronic data network includes receiving identifying information for a product transmitted from a mobile device via the network, the server being periodically updated with product recall data. The server queries a traceability server via the network for master data and event data related to the product using the identifying information. The server processes the recall data, master data, and event data to produce product data which is output to the mobile device.

Supply chain management using mobile devices

A method for supply chain management using mobile devices with a server on an electronic data network includes receiving identifying information for a product transmitted from a mobile device via the network, the server being periodically updated with product recall data. The server queries a traceability server via the network for master data and event data related to the product using the identifying information. The server processes the recall data, master data, and event data to produce product data which is output to the mobile device.

Method and system for providing artificial intelligence analytic (AIA) services using operator fingerprints and cloud data

One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (VOC), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved. In one aspect, the process is capable of generating a driving analysis report which predicts potential risks associated with the driver according to the current and historical fingerprints.

SERVER DEVICE AND TRACEABILITY METHOD
20210090091 · 2021-03-25 ·

A server device stores data sent from a client device together with data identification information and stakeholder identification information that identifies a stakeholder operating the client device. A controller determines a number of stakeholders included in the data, and, in a case where the data stores information on stakeholders of a plurality of n organizations, leaves information on a specific stakeholder unrewritten and rewrites information of other stakeholders with optional information to generate n types of management data. The controller generates first hash value for each of the n types of management data, and controls n transactions including the first hash value to be issued to a blockchain, and transmits the transaction. The controller returns, in response to a browsing request specifying the data identification information and the stakeholder identification information from the client device, management data corresponding to the stakeholder identification information among the n types of management data.

ADAPTIVE AND VERIFIABLE BILL OF MATERIALS
20210035120 · 2021-02-04 ·

Techniques are provided for producing adaptive and verifiable bills of materials. One method comprises obtaining a verifiable claim associated with a device issued by a supplier of the device, wherein the verifiable claim comprises a decentralized identity for the device with corresponding public attributes; and verifying the verifiable claim for the device using the decentralized identity for the verifiable claim and the corresponding public attributes obtained from a distributed ledger. The verifying comprises, for example, reading a public key from the distributed ledger and verifying a digital signature of the verifiable claim using the public key. The verifiable claim for a given part may comprise a part status and when the part status of the given part indicates a recalled status, one or more predefined recall policies are applied for the given part and/or a device comprising the given part.

Cross device tracking of e-commerce sales

An e-commerce system is provided that tracks purchase transaction across multiple client devices. The e-commerce system stores hop information describing when a customer is exposed to a product of a vendor through an affiliate who advertises the vendor's products. The e-commerce system determines from the stored hop information which affiliate or affiliates to compensate for the sale of a product. This allows the e-commerce system to determine, after the sale, whether additional affiliates need to be compensated for the sale of the product based on the hop information.

SYSTEMS AND METHODS FOR AUTOMATED TRACKING AND OPTIMIZATION OF GLOBAL MANUFACTURING AND SUPPLY BASED ON IMPACTS OF POST-APPROVAL CHANGES

A computing device-implemented method for automated tracking and optimization of global manufacturing and supply based on impacts of post-approval changes (PACs) is discussed. An exemplary method includes retrieving data from data sources including at least an inventory database, a regulatory database, and a PAC information database. The method further includes analyzing the retrieved data to identify one or more impacts of at least one PAC on one or more drug products or drug substances using a predefined ruleset for determining which changes were implemented for each lot. The method also includes generating a list of the identified one or more impacts on the one or more drug products or drug substances.

SCALABLE AND EFFICIENT PACKAGE DELIVERY USING TRANSPORTER FLEET

A method includes providing, by server computer to a service provider, an onboarding interface for onboarding a service provider to accept returns initiated by end users and from a plurality of available transporters, and then receiving, by the server computer, selections from the service provider regarding different options for processing returns via the onboarding interface. The server computer can receive a plurality of return orders for a plurality of items from a plurality of end users. and process the return orders according to the stored and selected options.

SCALABLE AND EFFICIENT PACKAGE DELIVERY USING TRANSPORTER FLEET

A method includes providing, by server computer to a service provider, an onboarding interface for onboarding a service provider to accept returns initiated by end users and from a plurality of available transporters, and then receiving, by the server computer, selections from the service provider regarding different options for processing returns via the onboarding interface. The server computer can receive a plurality of return orders for a plurality of items from a plurality of end users. and process the return orders according to the stored and selected options.