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.

Abstract: A method and system for handling and storing purchase transactions between a user and point-of-sales is described. The method comprises the steps of: a user purchasing an item from a point-of-sale, the point-of-sale generating an electronic receipt related to said item, the point-of sale sending the electronic receipt to an accounting system for bookkeeping of purchase transactions, said system storing the receipt, said system extracting price and information about the item, and said system storing the price and information in a bookkeeping module.

Abstract: A method for monetizing ferroelectric process development is described. In at least one embodiment, the method comprises procuring a target material based on a model driven selection which is based on charge, mass and magnetic moment, and/or mass of the atomic constituents of the target material. The method further comprises applying the target material to a fabrication process to build a ferroelectric device. The method further comprises generating a notification indicative of procurement of the target material and application of the target material. The method further comprises electronically transmitting the notification to a customer, wherein the notification includes an invoice having a line item associated with a cost of the procuring of the target material and application of the target material.

Abstract: A system and method for the management of services offered to subscribers by service providers are provided. A service management component manages service plan options that are provided by one or more service providers and that are made available to subscribers. The service management component processes requests from one or more service provider components to dynamically update service plan information. Such requests may include requests to add or delete service plans, add or delete features to a service plan, add or delete rule sets associated with a service plan, and the like. In this embodiment, the service management component maintains various data stores associated with available service plans and with current subscriber information that facilitate a mapping of updated service plan options to subscribers. Accordingly, the service management component manages a framework that allows the management of the mapping information.

Abstract: Cloud-based methods and systems are presented for aggregating custom groupings of Self-Service Terminals (SSTs) and managing the SSTs through a network. Real-time information for the SSTs are gathered and interfaces are used to direct selective usage of particular SSTs within a grouping. The groupings optimized for reducing media replenishment and service of any particular SST within the grouping.

Abstract: The present disclosure relates to a method for providing an electronic shipment certificate performed by a server providing an integrated logistics products management service. The method includes operations of: obtaining a digital code including shipment information generated during a shipment process of a logistics product; obtaining a QR code generated through a device for measuring a delivery state during the delivery process of the logistics product; linking shipment information and shipment state information on the logistics product on the basis of the digital code and the QR code; and providing the shipment information on the logistics product through an external terminal on the basis of the QR code displayed on a screen of an apparatus. The QR code includes sensing data measuring at least one among temperature, acceleration, humidity, illumination, inclination, impact, and location through a sensor of the apparatus during the delivery process of the logistics product.

Abstract: The present disclosure relates to an inventory system, wherein the inventory system includes at least one Internet of Things (IOT) inventory device having at least one pressure sensor and a radio field antenna, wherein a weighing surface is located on a top side of the at least (IOT) inventory device, and wherein the radio field antenna is positioned beneath the weighing surface.

Abstract: In one aspect, the present disclosure relates to a method for improved efficiency of an inventory management system. The method can include: performing a first inventory search of inventory data stored in a database using search criteria; receiving, from a beacon sensor, inventory data broadcast from a plurality of beacons; performing a second inventory search by correlating the inventory data broadcast from the plurality of beacons with results of the first inventory search; receiving image data from a camera; performing image classification on the image data to determine one or more class labels for an inventory item within the field-of-view of the camera; performing a third inventory search by correlating the class labels with results of the second inventory search; and presenting results of the third inventory search to a user.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: A computer-implemented system for delivery scheduling from a fulfillment center. The system includes a memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include maintaining a first data structure representing a fulfillment center, where the data structure has elements representing portions of the fulfillment center the portions are associated with a plurality of physical locations and a cutoff time. The operations may also include maintaining a second data structure including a mapping between physical locations and product identifiers, receiving a request to provide a delivery time estimate, searching the second data structure to identify at least one physical location associated with the requested product, searching the first data structure to determine cutoff times associated with each of the at least one physical location, and returning, responsive to the request, a fast cutoff time selected from the cutoff times.

Abstract: The disclosure herein relates to business content analysis. In particular, the disclosure relates to systems and methods of an expense management system operable to perform automatic business documents' content analysis for generating business reports associated with automated value added tax (VAT) reclaim, Travel and Expenses (T&E) management, Import/Export management and the like. The system is further operable to provide various organizational expense management aspects for the corporate finance department and the business traveler based upon stored data. Additionally, the system is configured to use a content recognition engine, configured as an enhanced OCR mechanism used for extracting tagged text from invoice images and also provides continuous learning mechanism in a structured mode allowing classification of invoice images by type, providing continual process of improvement and betterment throughout.

Abstract: A set of data for training a machine learning system can be modified to improve its performance. An item of information can be transmitted. A message can be transmitted that includes an explanation of a determination, by the machine learning system, to transmit the item of information from among a plurality of items of information. A first set of data can have been used to train the machine learning system. A signal can be received that includes an indication of a usefulness of the message, to a user of a user device, in making a decision to perform an action based on a knowledge associated with the item of information. The first set of data can be modified, in response to a receipt of the signal, to produce a second set of data. The machine learning system can be caused to be trained using the second set of data.

Abstract: An automated planogram anomaly detection solution rapidly and reliably identifies mismatches between planograms and actual item placement. Examples receive a real time (RT) image of a shelf unit corresponding to at least a first portion of a planogram; detect, within the RT image, item boundaries for a plurality of items on the shelf unit and tag boundaries for a plurality of tags associated with the shelf unit; extract text from at least one tag; extract attributes from at least one item; map the extracted item attributes with the extracted tag text; detect, based at least on the map, a planogram anomaly; and based at least on detecting the planogram anomaly, generate a report identifying the planogram anomaly (e.g., a mismatch between a tag and an item). Some examples compare the RT image with a ground truth (GT) image to detect anomalies, for example empty space on the shelf unit.

Abstract: A method for the secure use of a personal identifier and/or financial instrument that may take place simultaneously with traditional methods of authorization for credit card, check, funds withdraw/transfer or purchase. Authorization according to the present invention may take place as follows: A) the Owner provides a pre-approval of authorization if the request meets an array of Owner-defined parameters; B) an authorization may be granted based on proximity of the Owner to the point of use; or C) the Owner provides a real time approval by smart device. In each case the invention subjects the request for authentication to a sequential verification procedure in which the request is tested against one or more pre-defined verification protocols, the deployed authentication protocol being pre-determined by the Owner and pre-selected in accordance with a user profile that was pre-programmed by the Owner.

Abstract: One or more devices, systems and/or methods for generating waste profiles are provided. For example, a graphical user interface may be controlled to display a waste profile interface. A request to generate a waste profile associated with waste may be received via the waste profile interface. The request may comprise waste parameters of the waste. One or more waste information databases may be analyzed to identify data records associated with the waste parameters. The waste profile may be generated based upon the waste parameters and the data records. An electronic waste transfer request, comprising the waste profile, associated with the waste, may be transmitted over a network connection to a second device associated with a waste facility. An acceptance message indicating that the waste facility accepts the waste or a rejection message indicating that the waste facility rejects the waste may be received from the second device.

Abstract: Systems, methods, processes, computer program code and means for conducting a payment transaction are provided which include activating a payment application of a mobile device, generating, using the payment application, an optical image representing payment account information associated with the payment application, said payment account information including at least one of a payment account number, an expiry date of the payment account number, and a dynamic verification code generated by the payment application; and presenting the optical image to a merchant transaction terminal for scanning to conduct the payment transaction.

Abstract: The present disclosure provides systems and methods for monitoring inventory transfer in real-time, comprising a memory storing instructions and a processor configured to execute the instructions to receive a tote identifier associated with a tote configured to store one or more products and receive a container identifier associated with a container configured to store the tote. The processor is configured to receive, from a user device in the first fulfillment center, a code associated with a vehicle for transferring the container from a first to a second fulfillment center, receive, from a user device in the second fulfillment center, the code associated with the vehicle, receive, from the user device in the second fulfillment center, at least one of the container identifier or the tote identifier, and validate the transfer of the first product, based on the code and at least one of the container identifier or the tote identifier.

Abstract: Sensor-equipped display management systems and methods that may be used to calculate a number of products removed from a display management system based upon motion of one or more mechanisms within the display management system. Additionally, the systems and methods may be used to detect patterns from the sensor data, which may be indicative of attempted theft of products stored within the display management system.

Abstract: Methods and apparatus to monitor media content at a content display site are described. An example method includes assigning a first set of weights to each of a plurality of panelists based on a set of collected characteristics for each person of a subset of unmeasured persons at unmeasured locations, the subset of unmeasured persons being the unmeasured person for which the collected characteristics are know selecting a subset of the panelists based on the first set of weights, each panelist of the subset of panelists selected to be representative of an unmeasured person of the unmeasured persons, re-weighting the subset of the panelists based on estimated characteristics of the unmeasured persons at the unmeasured locations to generate a second set of weights, generating a virtual panel.