Abstract: The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.

Abstract: A specialized resource computation service engine electronically and automatically provides, in a timely and efficient manner, accurate and reliable tracking of mobile employees across domains and correctly apportions, calculates, and remits selected resources to those domains for employee compensation (including non-cash compensation) earned over a period of time according to the various different rules in various different domains. The system aggregates data indicative of different geographical locations and durations spent in the geographical locations by an employee over a time period, apportions respective amounts of time to each domain based on the aggregated data and computes, for the employee, a respective selected resource for each domain based on the respective amounts of time apportioned to each domain.

Abstract: Implementations provide a calendar application for dynamic scheduling and adjustment of events, such as sequential training events. The calendar application is used to specify events that are to occur within a schedule of events, an order in which the events are to occur, and a duration for each event. The calendar application is also used to specify available time periods in which the events may be scheduled. Based on the specified events and available time periods, the events are scheduled into available time periods to generate a calendar, a schedule of the events that preserves the specified order of events. On detecting a change in the inputs, such as a change in the specified events and/or available time periods, the calendar may be automatically updated (in real time with respect to the change) to accommodate the change, while preserving the order and duration of events.

Abstract: A paperless image-based reporting method provides graphic overlays on a display of a camera equipped mobile device which provides instructions and or permit input while also permitting a user to capture at least one image desired for a report. Some embodiments permit the overlay to capture still images while simultaneously capturing video with a single camera. A report can be automatically generated and then sent to a server.

Abstract: Obtain, as input, in electronic form, structured information including tasks for a plurality of occupations in a plurality of industries over a length of time; compute, from the structured information, a time series of normalized occupation task shares over the length of time; train a computerized machine learning model, on the time series, to predict future task shares for the plurality of occupations in the plurality of industries; and, with the trained computerized machine learning model, predict the future task shares.

Abstract: The present disclosure provides a concierge network. The concierge network comprises a server in communication with a plurality of user devices over a network, and the server is configured to: generate one or more proposals based on request data using a machine learning algorithm trained model; receive a user input for modifying one or more fields of the one or more proposals via a first graphical user interface, in which at least one of the one or more fields includes insight data extracted from feedback data received from a second graphical user interface; and output at least one of the one or more modified proposals for display on the second graphical user interface.

Abstract: This disclosure is directed to synchronizing or matching users using a timing network application to modify electronic timing data in a computing network. An exemplary method comprises providing a timing network application utilizable by users registered with a computing network, wherein the timing network application is used to modify first electronic timing data. At least a first portion of the first electronic timing data comprises a first open time, wherein the first open time is presented in a first visual state. The exemplary method further comprises receiving a request to close the first open time in the first electronic timing data, and, in response to the request, closing the first open time in the first electronic timing data, wherein the first closed time is presented in a second visual state. The exemplary method further comprises transmitting a notification, associated with the first closed time, to at least one user.

Abstract: A device may receive dynamic customer data and static customer data, and may calculate additional customer data based on the dynamic customer data and the static customer data. The device may process the static customer data, the dynamic customer data, and the additional customer data, with a first machine learning model, to determine a next action prediction, and may process the static customer data, the dynamic customer data, and the additional customer data, with a second machine learning model, to determine a next sequence prediction. The device may concatenate the static customer data, the dynamic customer data, the additional customer data, the next action prediction, and the next sequence prediction to generate concatenated data, and may process the concatenated data, with a plurality of machine learning models, to calculate various outputs, and may generate a recommendation for the customer based on the various outputs.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.

Abstract: The present invention is a method and system of small construction project management by way of photo imaging and measurement capture for use by do-it-yourselfers, handymen and small contractors. The method and system operates on mobile computing devices and includes an image recognition system. By performing various imaging based measurements and then processing the resultant data, the method and system produces bills of materials. invoices, and receipts for the necessary tools and materials required by a construction project.

Abstract: Disclosed is a platform that provides temporary staff along with administrative infrastructure to employers who have temporary staffing needs. Administrative issues are monitored via dynamically generated geofences and mobile devices (mobile phones) carried by worker-users. The geofences serve as time clock and behavioral monitor zone.

Abstract: One embodiment provides a method, including: obtaining, using the set of one or more processors, a plurality of user selections provided via a graphical user interface (GUI); establishing, using the set of one or more processors, an association between the plurality of user selections and display data for a time series of a plurality of inventory items; obtaining, using the set of one or more processors, a time series of forecasting data via an application programming interface (API) call to a remote system; associating, using the set of one or more processors, the time series of forecasting data with the time series of the plurality of inventory items; and thereafter generating or updating, using the set of one or more processors, the display data for the time series of the plurality of inventory item on one or more web pages of an entity associated with the GUI based on the forecasting data and the plurality of user selections. Other embodiments are described and claimed.

Abstract: An online shopping concierge system identifies a set of delivery orders and a set of delivery agents associated with a location. The system allocates the orders among the agents, each agent being allocated at least one order. The system obtains agent progress data describing travel progress of the agents to the location, and order preparation progress data describing progress of preparing the orders for delivery. The system periodically updates the allocation of the orders among the agents based on the agent progress data and the order preparation progress data. This involves re-allocating at least one order to a different delivery agent. When a first agent arrives at the location, the system assigns to the first agent the orders allocated to the first agent. The system then removes the first agent from the set of available delivery agents, and removes the assigned delivery orders from the set of delivery orders.

Abstract: A method for optimizing a workflow of deferrable work interactions in a contact center that includes: providing a NLP models and a priority model; using text derived from received deferrable working interactions as inputs to the NLP models to generate the NLP scores; using the LP scores as inputs to the priority model to generate the priority score; identifying candidate agents of the agents for handling the deferrable work interactions; receiving an inbound work forecast; receiving agent work schedule data; using an optimization process to generate an optimized workflow for the deferrable work interactions, where the optimized workflow includes assignments in which an agent from the candidate agents is selected to handle the deferrable work interaction and a target timeframe for handling is scheduled; and routing the deferrable work interactions in accordance with the assignments of the optimized workflow.

Abstract: A system for incremental solution of the shift design and assignment problem comprises an interface configured to receive an incremental change and an existing schedule. The system comprises a processor to determine whether labor demand has changed; in response to labor demand having been changed, generate an updated set of shift candidates; determine a new cost function; restart a solver using the updated set of shift candidates, the existing schedule, the incremental change, and the new cost function, wherein the solver comprises a mixed integer programming (MIP) solver, and wherein the MIP solver determines simultaneously a subset of the shift candidates selected in the final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of shift candidates.

Abstract: In one aspect, first data characterizing an attribute of a fuel dispenser user interacting with a fuel dispenser can be received. A first product that is associated with the fuel dispenser user can be determined based on the received first data. Second data characterizing a first location at a fueling station can be received. Third data that characterizes whether the first product is stored at the first location can be determined based on the determined first product and the received second data. A first command can be determined based on the determined third data. The command can be transmitted. Related apparatus, systems, methods, techniques, and articles are also described.

Abstract: A system and method for analyzing businesses data to make business decisions is disclosed. The method includes receiving a request from one or more users via one or more electronic devices to predict a set of insights associated with a business enterprise and generating a set of KPIs and metrics. The method further includes determining health of the business enterprise and predicting the set of insights associated with the business enterprise based on the received request, the generated set of KPIs and metrics, the determined health of the business enterprise and one or more diagnosis parameters by using a data management-based AI model. Further, the method includes outputting the determined health of the business enterprise, the one or more diagnosis parameters and the predicted set of insights on user interface screen of the one or more electronic devices associated with the one or more users.

Abstract: Embodiments provide methods and systems for determining prospective acquisitions among business entities using machine learning techniques. Method performed by server system includes accessing financial data items and news items associated with finances of business entities from data sources for particular time duration. Method includes generating financial and news feature vectors corresponding to business entities and applying machine learning models over financial feature vectors and news feature vectors associated with business entities for determining candidate set of business entities predicted to be engaged in business acquisition in future. Method includes creating dynamic bipartite knowledge graph for each distinct time durations within particular time duration and generating static bipartite knowledge graph based on dynamic bipartite knowledge graphs for distinct time durations.

Abstract: Systems, methods, apparatuses, and computer-readable media are provided for rules execution testing using live production data. Live production authorization requests may be received at a production computing device. Production authorization decisions may be determined at the production computing device for the live production authorization requests using a set of production rules. The production authorization requests, data used to arrive at the corresponding production authorization decisions, and/or the corresponding authorization decisions may be streamed in real-time to a test device. Test authorization decisions may be determined at the test device for the received live production authorization requests using the received data used to arrive at the production authorization decisions, and using a set of test rules. Production and test authorization decisions may be compared to determine decision differences. One or more user interfaces or reports may be generated for outputting the decision differences.

Abstract: An aircraft ground refueling management system of the present disclosure utilizes various components already existing in an aircraft ground refueling vehicle to characterize and track, in real time, events of an aircraft refueling operation. The components include a fuel meter, a fuel delivery deadman sensor, a fuel nozzle sensor and a ground refueling vehicle brake sensor. Data from these components in combination with data provided by a mobile computing device that is integral to the refueling operation provide the data points to determine the amount of time elapsed for each event of the refueling operation. Knowledge of each event of the refueling operation provides the opportunity for identifying where time spent can be reduced.