Abstract: A system for automated origination of capital includes a rate processor, a revenue forecaster, and an offer processor. The rate processor generates prices for capital product offers to subscribers of a point-of-sale (POS) subscription service, where the prices are generated by employing probability of default (PD) values that are derived from historical POS data corresponding to each of the subscribers. The revenue forecaster is coupled to the rate processor and is configured to employ the configured to employ the historical POS data and locations of establishments corresponding to the each of said subscribers to predict future POS data for the establishments corresponding to the each of the subscribers, and to employ the future POS data to generate predicted total revenues corresponding to the each of the subscribers over a payback period.

Abstract: Provided are systems and methods for maximizing saturation of two different sets of actors performing different sets of dependent operations at different rates over different but overlapping periods of time in a non-conflicting manner. The systems and methods may include transferring a first set of ordered items from item storage to item cache locations at a first rate during a first period of time, and fulfilling orders at a faster second rate over a later second period of time by picking items from a first set of the item cache locations at the second rate, and by replacing items at a non-overlapping second set of the item cache locations at the first rate. The transferring is commenced before the picking to create a buffer that allows a first set of actors, operating at the first rate, to continually provide the dependencies needed for a second set of actors to operate at the faster second rate without conflict and with each set of actors operating at their respective maximum rates.

Abstract: This disclosure covers methods, systems, and computer-readable media that select answer choices from potential answer choices for a digital question based on responses to other digital questions and/or embedded user data. In certain embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on a multiple choice response. Furthermore, in some embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on keywords and/or sentiment values identified by analyzing a text response. In some embodiments, the disclosed systems select answer choices for a digital question from a dynamic choice reference dataset that comprises potential answer choices. Additionally, in one or more embodiments, the disclosed systems train and/or utilize a machine-learning model to select answer choices from potential answer choices for a digital question based on a response.

Abstract: A computer-implemented method is disclosed. The method comprises calculating a first new rank value in a rank address space for a first issue of a plurality of issues. The rank address space comprises unique, ordered values, and each of the plurality of issues has a rank value in the rank address space. The method further comprises determining whether a length of the first new rank value is greater than or equal to a first rebalancing trigger length. In addition, the method comprises, in response to determining that the length of the first new rank value is greater than or equal to the first rebalancing trigger length, identifying a first delay period that is to elapse before rebalancing the rank address space comprising updating at least one rank value of at least one of the plurality of issues to reduce a possibility of congestion in the rank address space. The method additionally comprises following the first delay period, rebalancing the rank address space.

Abstract: Methods, apparatus, and processor-readable storage media for processing order experience data across multiple data structures are provided herein.

Abstract: This application relates to systems and methods for generating desired or optimized event schedules. An example computer-implemented method of dynamically generating an event schedule includes: receiving ogle or more parameters for a series of live events to be held in a plurality of geographic regions; generating a schedule for the series of live events based on the one or more parameters; and automatically updating the schedule based on a change to the one or more parameters.

Abstract: A system for automated origination of capital includes a rate processor, a revenue forecaster, and an offer processor. The rate processor generates prices for capital product offers to subscribers of a point-of-sale (POS) subscription service, where the prices are generated by employing probability of default (PD) values that are derived from historical POS data corresponding to each of the subscribers. The revenue forecaster employs the historical POS data to predict future POS data for establishments corresponding to the each of the subscribers and employs the future POS data to generate predicted total revenues corresponding to the each of the subscribers over a payback period. The offer processor generates and transmits the capital product offers corresponding to the each of the subscribers, where the capital product offers comprise the payback period, the prices, and maximum dollar amounts that are a percentage of the predicted total revenues.

Abstract: Solutions are provided for configuration management for model-based systems engineering (MBSE). An example includes: partitioning a system project into a baseline portion and a working portion; generating, in the working portion, a change package; generating, for the change package, an impact analysis, wherein generating the impact analysis comprises: based at least on change information, determining directly impacted elements; and based at least on the directly impacted elements, determining indirectly impacted elements; importing, from a baseline model into the change package, the directly impacted elements and the indirectly impacted elements; modifying at least one imported directly impacted element to generate a modified element; and integrating the modified element into the baseline model. Some examples further include generating a relation map indicating relationships among the directly impacted elements and the indirectly impacted elements to assist the impact analysis.

Abstract: In some embodiments, environment solutions are received from local solution control centers for respective companies. The environment solutions generated from environmental data received from multiple environments being operated by a respective company. The environment solutions for the environment solutions are converted to anonymous environment solutions and the environmental data to anonymous environmental data. The method applies first machine learning logic to the anonymous environment solutions for the environment solutions to generate first set of solutions and applies second machine learning logic to the anonymous environmental data to generate second set of solutions. The first set of solutions and the second set of solutions are tested for comparable solutions. One of the first set of solutions and the second set of solutions is then selected based on the testing.

Abstract: Examples of cognitive procurement are described. In an example embodiment, procurement-specific data sources associated with at least one of a process, an organization, and an industry relevant for procurement operations are monitored. From the monitored procurement-specific data, an operation behavioral pattern is identified. Subsequently, a behavior model of an order is constructed using the operation behavioral pattern and a pre-existing behavior model library. A procurement interaction indicating a query for processing the order is received from a user. The order is tracked by the cognitive order concierge. Using the behavior model, a potential event relating to the order is predicted, the potential event being indicative of an issue affecting the order. Accordingly, the issue affecting the order is proactively remediated to automatically troubleshoot the order. In an example, the user is notified as per the remediation requirement.

Abstract: A tire inventory decision support system (100) optimizes tire allocations across a plurality of trade areas for local tire dealers, as well as regional trade areas for tire repositories as regional fulfillment hubs. The system defines trade areas having demographic tire demand characteristics and corresponding to an available inventory population for respective dealers. For each trade area, optimal dealer inventory populations are projected for tire sizes and brands, based in part on the available inventory population for the dealer an actual inventory population for the associated tire repository. The system compares the optimal inventory population for each dealer to actual inventory population, and selectively generates dealer interfaces displaying recommendations for tire inventory modification based on value propositions as disparities between the optimal and actual inventory populations.

Abstract: An embodiment of the present invention is directed to a business intelligence testing tool. An embodiment of the present invention is directed to overcoming the tedious manual process of testing BI reports. Generally, BI reports contain Graphs, Data, Reports Formatting and Data Formatting which may need to be validated. An embodiment of the present invention is directed to validating and testing various visualization tools and further analyzing and reporting the data.

Abstract: A data engine may establish and maintain dynamic item subsets of items received from the item-tracking platforms. Users may define and customize the dynamic item subsets using a client application. The data engine may determine aggregated data about the dynamic item subsets for presentation in a graphical user interface of a client application executing on or otherwise accessible by the client devices.

Abstract: A store fulfillment manager (SFM) system provides fulfillment of orders from inventory in a retail store. An ingestion layer ingests orders published by an order management system (OMS.) The OMS publishes the orders to the SFM system. A fulfillment database is used, into which the ingestion layer publishes the orders to be fulfilled from the retail store, the fulfillment database being dynamically updated to include the current orders that are available for processing and fulfillment. An SFM application programming interface (API) is configured to interface with multiple different store-based fulfillment systems. An internal workflow processor is configured to monitor the status of order fulfillment by the SFM and to publish status information to the OMS.

Abstract: Aspects relate to methods and systems for exploiting value within certain domains. An exemplary method includes interrogating, using a remote device, a user for scheduling data and at least a domain, wherein the at least a domain includes at least one domain and no more than a predetermined maximum number of domains, receiving, using the remote device, the at least a domain from the user, interrogating, using the remote device, the user for domain-specific data associated with the at least a domain, receiving, using the remote device, the domain-specific data from the user, generating, using a computing device, a domain target for the at least a domain as a function of the domain-specific data, generating, using the computing device, a user schedule as a function of the domain target and the scheduling data, and displaying, using the remote device, the user schedule and the domain target to the user.

Abstract: Automated computing machinery that agnostically augments a customer relationship management (“CRM”) application, including a leadership hub with computer memory configured according to a logical table, with logical columns identifying sales campaigns and a column identifying tele-agents, including also logical rows, each row representing an assignment of a tele-agent to work on a sales campaign; and a campaign management portal with computer memory configured according to a logical table, with logical columns identifying sales campaigns and a column identifying display templates, including also logical rows, each row associating a sales campaign and a display template comprising at least one sales campaign question and an answer form for the question; the leadership hub and the campaign management portal operative to display the template as an overlay of a web page of a CRM.

Abstract: According to one embodiment, an information processing device includes a processor and a memory. The processor determines whether an object included in an image belongs to a first group or not. The processor calculates at least one of first statistical information of an object determined to belong to the first group or second statistical information of an object determined not to belong to the first group. The processor stores at least one of the first statistical or the second statistical information in the memory. The processor executes display processing for at least one of the first statistical information or the second statistical information stored in the memory.

Abstract: This specification generally discloses technology for optimizing the loading of pallets on trucks and other sorts of vehicles. A pallet loading technique includes receiving pallet information for a shipment, the pallet information describing pallets to be included in the shipment, receiving vehicle constraint information for a vehicle, the vehicle constraint information describing rules for loading pallets on the vehicle, and determining candidate solutions for loading the pallets on the vehicle, each candidate solution (i) satisfying the rules for loading pallets on the vehicle, and (ii) defining, for each pallet to be included in the shipment, a respective position and orientation of the pallet on the vehicle. At least some of the candidate solutions are evaluated, one of the candidate solutions is selected, and the vehicle is loaded according to the selected candidate solution.

Abstract: Systems, devices, methods, and computer-readable media are disclosed for utilizing group theoretic techniques to enable data exchange between a supervisory central processing unit (CPU) and a group of graphical processing units (GPUs). The CPU may be configured to utilize a tabu search metaheuristic to explore a solution space to determine an optimal solution to an optimization problem. More specifically, the CPU may determine a fragmentation of a solution space that yields multiple partitions of the solution space and may assign each partition to a respective GPU configured to calculate a computational result. The CPU may then determine a new fragmentation of the solution space based on the computational results received from the GPUs that yields new partitions of the solution space and may assign each new partition to a respective GPU configured to again generate a computational result based on its assigned new partition.

Abstract: Computer-implemented systems and methods are provided for automated task scheduling and management. In some embodiments, a system for automated task scheduling may comprise at least one processor configured to receive a request with information for a task to be performed by a respondent. The one or more processors may retrieve employee information and, based on one or more attributes in the employee information and one or more attributes in the task information, identify one or more employees to complete the task. The one or more processors may assign the task to the identified employee(s), and monitor a status of the task based on periodic inputs from the employee.