Abstract: An example method for sharing an application in an application store occurs at a mobile device in communication with a display device. The method includes, displaying, at the display device, an application store user interface for a particular application where the user interface includes an affordance for sharing the particular application. The method also includes, receiving an input corresponding to the affordance, and in response to receiving the input, displaying a sharing user interface that includes one or more options for sharing the particular application with another user. The method further includes, receiving an instruction to share the particular application with the other user, and in response to receiving the instruction, sending a link to the particular application in an application store to the other user.

Abstract: Aspects of the disclosure relate to enhanced tracking of processed events. A computing platform may receive event processing identifiers corresponding to a particular event. Using the event processing identifiers, the computing platform may generate event linkage information corresponding to the particular event, and may store the event processing identifiers along with the event linkage information. The computing platform may receive a request to access event lifecycle information corresponding to the particular event. Using the event linkage information, the computing platform may identify a plurality of event processing systems performed actions associated with the particular event. The computing platform may request and receive, from each of the plurality of event processing systems, system-specific event lifecycle information corresponding to the particular event.

Abstract: In general, the present disclosure describes inventory management systems and methods which track all inventory of items within a retail supply chain. A computerized system aggregates inventory movement events to produce a common source of truth for the location and disposition of items within a supply chain. Order events and inventory events are received from multiple data sources. Additionally, a current inventory level for each item at each location within the supply chain is provided according to the data source. The computerized system normalizes the information in the event messages before it is stored in the centralized inventory database. The inventory information in the database can be accessed by multiple consumers through an API to obtain the most up-to-date information about the disposition and location of an item.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: A computer-implemented system for tracking items in a supply chain. The system may comprise a memory storing instructions and at least one processor configured to execute instructions.

Abstract: A method, computer system, and a computer program product for mapping is provided. The present invention may include locating an asset using an unmanned vehicle (UV), where the asset include a sensor device that is not mapped to the asset. The present invention may also include recording, using the UV, a sensor identifier of the sensor device. The present invention may include recording a location of the sensor device based on determining a location of the UV when the sensor device is detected. The present invention may further include registering the recorded sensor identifier of the sensor device with the asset to map the sensor device to the asset.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments include receiving an LP problem representing a supply chain planning problem for a supply chain network comprising material buffers and resource buffers, partitioning the supply chain network at a complicating node into at least two supply chains sharing the complicating node, formulating a decomposed subproblem for each of the supply chains, calculating an effective dual based, at least in part, on a mathematical difference of at least two dual values calculated by solving the functional-based decomposed subproblems, and generating a globally-optimal LP solution to the LP problem using subgradient descent with the effective dual.

Abstract: Systems and methods for labeling data are disclosed. An example method may be performed by one or more processors of a labeling system and include retrieving labeled data, identifying characteristics predictive of labels that would be entered for unlabeled data items having the respective characteristics based on the labeled data, training an analysis model to predict labels that would be entered for unlabeled data items, generating, for unlabeled data items, using the trained analysis model, a prediction of a label that will be entered for the respective unlabeled data item if the respective unlabeled data item is presented for labeling, selecting, based on the generated predictions, a subset of unlabeled data items to be presented for labeling, receiving labels for the subset of unlabeled data items, determining that a completion criteria associated with the trained analysis model is met, and generating labels for remaining unlabeled data items.

Abstract: An information technology system taking the form of a management console, central server, point of sale system, software running on a point of sale system and software running on a customer's mobile phone. The software on the customer's mobile phone lets a customer interact with the point of sale system, allowing the customer to view a pending economic transaction, optionally add or remove items to the transaction, and pay for the transaction using payment information stored on the mobile phone.

Abstract: A system for tracking a product from origin to destination is disclosed. The system includes a probe that comprises two plates, a power source and a processor. The power source is controlled by the processor to produce an oscillating output at the plates. Using the oscillating voltage, the probe interrogates a device through capacitive coupling. The device includes a control unit, a memory unit, and first and second materials physically associated with the device for communication using capacitive coupling. Information associated with the device is transferred from the device to the probe through capacitive coupling between the first and second materials and the first and second plates, respectively.

Abstract: Described is a technology that enables a customer, who uses a payment card in a point-of-sale (POS) transaction and provides a biometric identifier to the merchant, to use the biometric identifier as a payment mechanism in future transactions. In some embodiments, the technology involves communication between a customer's user device, a payment service system (PSS), and one or more merchant POS systems. A merchant POS system collects information around the time or after the time of the POS transaction between the merchant POS system and the customer, including, among others, a biometric identifier of the customer and forwards this information to the PSS. The PSS stores the biometric identifier in association with the payment card used in the transaction. In a second transaction, the customer may provide the biometric and the PSS may process the transaction based at least in part on the identifier without the customer needing to provide a payment card.

Abstract: A system and method for Internet-based management of displayed printed media is disclosed. The method and system receive a plurality of data files from a plurality of different sources, each of the plurality of data files comprising information about printed media at a single source, the information includes: a printed media version and a location identifier. Each of the plurality of data files are evaluated to determine that one or more of the plurality of printed media are out-of-date. A metric that identifies each location having the one or more of the plurality of printed media that are out-of-date is generated. An instruction is automatically provided to each location having the one or more of the plurality of printed media that are out-of-date to remove the one or more of the plurality of printed media that are out-of-date.

Abstract: The present invention provides a unique system to deliver packages from aerial vehicles to the ground through the use of a sophisticated guidance system and impact-absorbing catching mechanism. The new systems and methods of the present invention provide package delivery from manned and unmanned aircraft that is fully automated and reliably accurate to deliver a package to a ground station operable to receive the package in the catching mechanism.

Abstract: A system includes a user device and a computing system. The user device accesses a plurality of images captured by a camera and identifies, from the plurality of images, a particular image that depicts a portion of a user interaction object. The user device transmits the particular image across a wireless communications network. The computing system accesses the particular image depicting the portion of the user interaction object and determines a data item from the particular image. The computing system compares the data item to one or more accounts of the user and sends instructions to the user device to automatically display an alert message on the electronic display based on the comparison of the data item to the one or more accounts.

Abstract: An equipment monitoring system for a merchandiser. The system includes a control system that defines a data acquisition node, a server that is in remote communication with the control system via a network providing a communication bridge between the data acquisition node and the server, and that includes a database and one or more applications having executable processing instructions, and equipment monitoring sensors that are coupled to one or more components of the merchandiser to obtain status data regarding the status of the one or more components. The equipment monitoring sensors are in communication with the data acquisition node to communicate the status data to the server. The application(s) execute processing instructions that conduct program analysis for the one or more components using the status data based on information associated with the merchandiser to determine a predictive component failure associated with the one or more components.

Abstract: A method for proximity detection and ranging with neighboring devices is described here. The method includes identifying, by a processor of a first tag, a second tag from a group of tags within a predefined range of the first tag. The method further comprises initiating, by the processor, transmission of a packet to the second tag in the group of tags identified within the predefined range. The method further comprises, in response to the transmission of the packet, receiving, by the processor, a response packet from the second tag. The method includes in response to receiving the response packet, determining a tag distance between the first tag and second tag. The method includes determining that the tag distance associated with the second tag is less than a predefined distance, generating, by the processor, an alarm or notification to the first tag indicating that the predefined distance is crossed.

Abstract: This invention relates to systems and methods for authenticating transactions using a mobile device based primarily on the introduction of a layer of middleware and wherein the Payment Networks, Merchants, Issuing Banks, Credit Reporting Bureaus, Insurance Companies, Healthcare Providers may customize the implementation of the services based on individual strategy and consumer preferences.

Abstract: A sales device allows for self-checkout of goods in a store. The sales device has a controller configured to control the sales device and a communication device configured to receive and send data from and to a network. At least one camera is included that is configured to create an image of at least one view of an open side of a shopping cart or a shopping basket. The sales device also has a support plate that is configured such that the shopping cart or the shopping basket are placeable on it. A detector is included that is configured to detect the shopping cart or shopping basket on the support plate; as is a sensor that is configured to automatically detect a unique identification number of the shopping cart or shopping basket upon the detector detecting the shopping cart or the shopping basket on the support plate.

Abstract: An equipment monitoring system for a merchandiser. The system includes a control system that defines a data acquisition node, a server that is in remote communication with the control system via a network providing a communication bridge between the data acquisition node and the server, and that includes a database and one or more applications having executable processing instructions, and equipment monitoring sensors that are coupled to one or more components of the merchandiser to obtain status data regarding the status of the one or more components. The equipment monitoring sensors are in communication with the data acquisition node to communicate the status data to the server. The application(s) execute processing instructions that conduct program analysis for the one or more components using the status data based on information associated with the merchandiser to determine a predictive component failure associated with the one or more components.

Abstract: Deep Learning is a candidate for advanced process control, but requires a significant amount of process data not normally available from regular plant operation data. Embodiments disclosed herein are directed to solving this issue. One example embodiment is a method for creating a Deep Learning based model predictive controller for an industrial process. The example method includes creating a linear dynamic model of the industrial process, and based on the linear dynamic model, creating a linear model predictive controller to control and perturb the industrial process. The linear model predictive controller is employed in the industrial process and data is collected during execution of the industrial process. The example method further includes training a Deep Learning model of the industrial process based on the data collected using the linear model predictive controller, and based on the Deep Learning model, creating a Deep Learning model predictive controller to control the industrial process.