Abstract: A data supply chain can include functional blocks, which can automatically perform stages of data supply chain, which can include data discovery catalog, data contract negotiation, data preparation, data authentication and authorization, data usage and metering, data contract settlement, data disposal and data forensics and reporting. Information from one or more of the stages can be recorded.

Abstract: A processor in an omnichannel environment, over a specific network with transaction level operations, may receive one or more input configurations. The processor may identify, based on the one or more input configurations, one or more articles. The processor may identify one or more key performance indicators (KPIs) associated with the one or more articles. The processor may compute, based on an uncensored demand trajectory, an impact on the KPIs over a specified period in the omnichannel environment. The processor may provide the impact to a user.

Abstract: A method and system generate news headlines from user input parameters. The user input parameters include a specified geographic region of interest and an industry of interest. Climate data and carbon emissions data for the specified geographic region of interest is retrieved. Supply chain dependencies are determined. A machine learning model is generated using the specified geographic region of interest, the industry, the climate data, the carbon emissions data, and the supply chain dependencies. The machine learning model performs an impact analysis on a supply chain based on the climate data and the carbon emissions data. The machine learning model predicts a supply chain performance for the industry based on the impact analysis. A news headline is automatically generated describing the predicted supply chain performance. The news headline includes an underlying basis for the predicted supply chain performance.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include engaging a user in a primary activity; the primary activity may include a plurality of stages. The operations may include compiling at least one risk-reward score for an advertisement placement of an advertisement for at least one of the plurality of stages. The operations may include updating, dynamically, the at least one risk-reward score and identifying a recommended stage for the at least one advertisement; the recommended stage may be based on the risk-reward score. The operations may include displaying the at least one advertisement to the user at the recommended stage.

Abstract: In an approach to improve order management by performing sustainable order fulfillment optimization through computer analysis, embodiments receive an order from a user through the order management system for performing sustainable order fulfillment. Further, embodiments estimate carbon emissions and economic costs of fulfilling the order from a plurality of nodes, and output an optimal sustainable order fulfillment. Additionally, responsive to receiving confirmation to implement the output optimal sustainable order fulfillment, embodiments place the optimal sustainable order fulfillment for the received order.

Abstract: A computer implemented method for providing an online purchase includes displaying an electronic image of a plurality of items. A signal of a user drawn loop, drawn around one or more of the plurality of items in the electronic image is received through a network connection. The one or more items in the user drawn loop are identified. A cost for the items identified in the user drawn loop is determined. The cost is displayed.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include engaging a user in a primary activity; the primary activity may include a plurality of stages. The operations may include compiling at least one risk-reward score for an advertisement placement of an advertisement for at least one of the plurality of stages. The operations may include identifying a recommended stage for the advertisement; the recommended stage may be based on the risk-reward score. The operations may include displaying the advertisement to the user at the recommended stage.

Abstract: A computer automatically groups IoT devices. The computer identifies at least one individual interaction zone within an operating environment, the at least one individual interaction zone characterized by pre-established device mounting regions each associated with a device category. The computer receives a location indicating signal from an IoT device located within the at least one individual interaction zone. The computer, in response to receiving the location indicating signal and based at least in part thereon, the computer recognizes that the IoT device is occupying one of the device mounting regions. In response to the recognition, the computer determines that the IoT device belongs to the device category associated with the occupied mounting region. In response to the determination, the computer adds the device to an IoT device group associated with the individual interaction zone associated with the occupied mounting region.

Abstract: A computer automatically groups IoT devices. The computer identifies at least one individual interaction zone within an operating environment, the at least one individual interaction zone characterized by pre-established device mounting regions each associated with a device category. The computer receives a location indicating signal from an IoT device located within the at least one individual interaction zone. The computer, in response to receiving the location indicating signal and based at least in part thereon, the computer recognizes that the IoT device is occupying one of the device mounting regions. In response to the recognition, the computer determines that the IoT device belongs to the device category associated with the occupied mounting region. In response to the determination, the computer adds the device to an IoT device group associated with the individual interaction zone associated with the occupied mounting region.

Abstract: An example operation may include one or more of receiving, via a network, tag data that is read from a tag associated with a physical object and signed with a key assigned to the tag, determining, via a blockchain peer, that the signed tag data is validly signed based on a corresponding key pair of the tag which is accessible to the blockchain peer, determining, via the blockchain peer, whether the tag data satisfies of one or more predefined conditions of the physical object, and storing the determination via a blockchain database.

Abstract: A computer system includes a memory having computer readable instructions and a processor for executing the computer readable instructions. The computer readable instructions control the processor to determine an active workflow initiated by a user. The active workflow includes a plurality of individual workflow stages that are sequentially presented to the user to complete a task. The processor further receives a user input requesting execution of a deferrable marketing action located at a current workflow stage of the active workflow, and controls the deferrable marketing action in response to the user input so as to delay execution of the deferrable marketing action.

Abstract: An item storage system includes a shelving portion and a replenishment portion. The shelving portion includes: a first shelf having a toroidal shape with a center axis; and a second shelf having a toroidal shape that is spaced apart from the first shelf along the center axis. The replenishment portion includes: an elevator portion configured to deliver items to the first shelf and the second shelf, wherein at least part of the elevator portion is positioned in the center of the shelving portion and is surrounded by the shelving portion; and a storing portion configured to load items into the elevator portion, wherein the storing portion is positioned above or below the shelving portion.

Abstract: In various embodiments, a computing device, a non-transitory storage medium, and a computer implemented method of improving a computational efficiency of a computing platform in processing a time series data includes receiving the time series data and grouping it into a hierarchy of partitions of related time series. The hierarchy has different partition levels. A computation capability of a computing platform is determined. A partition level, from the different partition levels, is selected based on the determined computation capability. One or more modeling tasks are defined, each modeling task including a group of time series of the plurality of time series, based on the selected partition level. One or more modeling tasks are executed in parallel on the computing platform by, for each modeling task, training a model using all the time series in the group of time series of the corresponding modeling task.

Abstract: Embodiments herein describe a return network simulation system that can simulate changes in a retailer's return network to determine the impact of those changes. Advantageously, being able to accurately simulate the retailer's return network means changes can be evaluated without first making those adjustments in the physical return network. Doing so avoids the cost of implementing the changes on the return network without first being able to predict whether the changes will have a net positive result (e.g., a positive result that offsets any negative results). A retailer can first simulate the change on the return network, review how the change affects one or more KPIs, and then decide whether to implement the change in the actual return network. As a result, the retailer has a reliable indicator whether the changes will result in a desired effect.

Abstract: An example operation may include one or more of receiving, via a network, tag data that is read from a tag associated with a physical object and signed with a key assigned to the tag, determining, via a blockchain peer, that the signed tag data is validly signed based on a corresponding key pair of the tag which is accessible to the blockchain peer, determining, via the blockchain peer, whether the tag data satisfies of one or more predefined conditions of the physical object, and storing the determination via a blockchain database.

Abstract: A data supply chain can include functional blocks, which can automatically perform stages of data supply chain, which can include data discovery catalog, data contract negotiation, data preparation, data authentication and authorization, data usage and metering, data contract settlement, data disposal and data forensics and reporting. Information from one or more of the stages can be recorded.

Abstract: The embodiments herein provide techniques for selecting an optimal return location from a plurality of candidate return locations for returning an item based on an expected recovery associated with each location. As discussed above, using predesignated return location(s) ignores many factors that can increase costs that affect returning items such as shipping costs, inventory, handling costs, operational transfer costs, as well as several predicted costs. Further, these techniques do not consider expected future revenue (which can offset these costs). In one embodiment, a net expected recovery is determined for each location using the costs and future revenues discussed above. By comparing the net expected recovery associated with each candidate return location, the optimal return location can be identified.

Abstract: Embodiments herein describe a return network simulation system that can simulate changes in a retailer's return network to determine the impact of those changes. Advantageously, being able to accurately simulate the retailer's return network means changes can be evaluated without first making those adjustments in the physical return network. Doing so avoids the cost of implementing the changes on the return network without first being able to predict whether the changes will have a net positive result (e.g., a positive result that offsets any negative results). A retailer can first simulate the change on the return network, review how the change affects one or more KPIs, and then decide whether to implement the change in the actual return network. As a result, the retailer has a reliable indicator whether the changes will result in a desired effect.

Abstract: An example operation may include one or more of connecting, by a battery analytics server, to a blockchain network that includes a plurality of charging station nodes, acquiring, by the battery analytics server, a current battery data from a charging station node of the plurality of the charging station nodes, the current battery data includes a battery identification (ID), storing, by the battery analytics server, the current battery data with a timestamp onto a blockchain ledger, comparing, by the battery analytics server, the current battery data against a pre-stored battery data based on the battery ID, and in response to a match, issuing, by the battery analytics server, a certification for a battery to be released from the charging station node of the plurality of the charging station nodes to a user.

Abstract: A system for displaying published electronic documents includes an electronic periodical database that stores electronic files representing a plurality of electronic documents and a plurality of corresponding published issues to each of the plurality of electronic documents, an electronic periodical display controller that displays a graphic substrate upon which the plurality of electronic documents and the plurality of corresponding published issues retrieved from the electronic periodical database are arranged, and a user input controller that receives user input to manipulate the graphic substrate to control a zooming function and a panning function that displays the plurality of electronic documents and published issues within the graphic substrate, and associates input user information with a specific one of the plurality of electronic published issues of the plurality of electronic documents.