Abstract: A VCN process may receive, by a value chain network digital twin, information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained to determine a task to be completed for the value chain network. A VCN process may provide at least one of an instruction for executing the task in the value chain network digital twin and a recommendation for executing the task in the value chain network digital twin.

Abstract: A VCN process may receive information associated with a set of value chain network entities. A VCN process may provide the information to a first set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the first set of AI-based learning models is trained to generate a prediction of future demand for an item. A VCN process may provide the information to a second set of AI-based learning models, wherein at least one member of the second set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity. A VCN process may determine a potential risk in the value chain network associated with the at least one value chain network entity based upon, at least in part, an output of the AI-based learning models.

Abstract: A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained on the training data set to determine, upon receiving the classification of the at least one of: the operating state, the fault condition, the operating flow, or the behavior, a task to be completed for the value chain network. A VCN process may provide a computer code instruction set to a machine to execute the task to facilitate an improvement in the operation of the value chain network.

Abstract: A VCN process may receive, by a computing device, information associated with a set of value chain network entities of a value chain network, the information generated by at least one of: a set of sensors of the set of value chain network entities, a set of IoT devices configured to collect data relating to the set of value chain network entities, or a set of APIs configured to publish data relating to the set of value chain network entities. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models. A VCN process may determine a procurement action to be taken in the value chain network based upon, at least in part, an output of the set of AI-based learning models. A VCN process may execute the procurement action.

Abstract: A VCN process may receive, by a computing device, information associated with a set of value chain network entities of a value chain network, the information generated by at least one of a set of sensors of the set of value chain network entities, a set of IoT devices configured to collect data relating to the set of value chain network entities, or a set of APIs configured to publish data relating to the set of value chain network entities. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models. A VCN process may determine a potential risk in the value chain based upon, at least in part, an output of the AI-based learning classification. A VCN process may execute an action to mitigate the potential risk in the value chain network.

Abstract: A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained on a training data set of a set of value chain network entities operating data to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity of the set of value chain network entities. A VCN process may determine a task to be completed for the value chain network based upon, at least in part, on an output of the set of AI-based learning models. A VCN process may execute the task to facilitate an improvement in the value chain network.

Abstract: A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained on the training data set to determine, upon receiving the classification of the at least one of: the operating state, the fault condition, the operating flow, or the behavior, a task to be completed for the value chain network. A VCN process may configure a robotic process automation system to execute the task to facilitate an improvement in the value chain network.

Abstract: Verifying payloads for vending machines, wherein a consumer may purchase a product on their mobile computing device, ping a minted computing device associated with the vending machine, and the minted computing device authorizes the vending machine to dispense the object.

Abstract: Connectors for a framing system, wherein each of the connectors includes pairs of flanges that extend in parallel away from a base.

Abstract: Minting a physical computing device based on unique key generation, wherein the key generation is configured to create a private-public key pair. In implementations, the key pair may be generated upon initialization of the physical computing device, such that the physical computing device is minted with the key pair. The key pair may be utilized as a token for supply-chain billings, payments, auditing, etc. associated with the physical computing device.

Abstract: Minting a physical computing device based on unique key generation, wherein the key generation is configured to create a private-public key pair. In implementations, the key pair may be generated upon initialization of the physical computing device, such that the physical computing device is minted with the key pair. The key pair may be utilized as a token for supply-chain billings, payments, auditing, etc. associated with the physical computing device.

Abstract: Minting a physical computing device based on unique key generation, wherein the key generation is configured to create a private-public key pair. In implementations, the key pair may be generated upon initialization of the physical computing device, such that the physical computing device is minted with the key pair. The key pair may be utilized as a token for supply-chain billings, payments, auditing, etc. associated with the physical computing device.

Abstract: A display devices with dual pathway connections. More particularly, electronic signage devices with dual or redundant pathways offering lower cost and higher reliability.

Abstract: Examples of the present disclosure are related to systems and methods for a hardware feedback loop that verifies received media has been presented on asynchronous displays. More particularly, embodiments may be utilized as an auditing tool to provide assurances that images appear on a display via a timestamp verification.

Abstract: An envelope opener features a through slot defining a channel that is closed on three sides around an axis of the slot. A blade projects into the channel from a first closed side thereof to an opposing second closed side thereof, and lies in plane spaced from the closed third side of the channel that lies opposite the mouth. The third side of the channel is angled relative to blade, and the cutting edge slopes away from the first closed side of the channel toward the second closed side, whereby the cutting edge is closer to both the second and third sides of the channel at one end thereof than the other. At the other end, a radiused corner is provided between the third side of the channel and an exterior of the tool. A metal insert lines one or more sides of the channel for an improved wear life.

Abstract: Examples of the present disclosure are related to systems and methods for a hardware feedback loop that verifies received media has been presented on asynchronous displays. More particularly, embodiments may be utilized as an auditing tool to provide assurances that images appear on a display via a timestamp verification.

Abstract: Examples of the present disclosure are related to systems and methods for operating display devices with dual pathway connections. More particularly, embodiments disclose electronic signage devices with dual or redundant pathways offering lower cost and higher reliability.

Abstract: An envelope opener features a through slot defining a channel that is closed on three sides around an axis of the slot. A blade projects into the channel from a first closed side thereof to an opposing second closed side thereof, and lies in plane spaced from the closed third side of the channel that lies opposite the mouth. The third side of the channel is angled relative to blade, and the cutting edge slopes away from the first closed side of the channel toward the second closed side, whereby the cutting edge is closer to both the second and third sides of the channel at one end thereof than the other. At the other end, a radiused corner is provided between the third side of the channel and an exterior of the tool. A metal insert lines one or more sides of the channel for an improved wear life.

Abstract: Clothing apparel is vended by forming the clothing apparel into a compact shape, inserting the clothing apparel and a container, and vending the clothing material and container from a standard beverage vending machine.