Abstract: The customer order fulfillment and return system for returning items from a customer order to specified locations in a warehouse. The returned items are assigned to specific sub-compartments of a tote, and the tote is assigned to a specific mobile return cart. The system then generates a return tour and the returned items are then returned to specific locations in the warehouse.

Abstract: Systems and methods for force-supplying cached API call data are disclosed. A system may comprise a memory storing instructions and at least one processor configured to execute instructions to perform operations including: receiving initial order data from a user device, the initial order data comprising a product identifier, a user identifier, and a promotion identifier; determining an initial reduction amount based on the received product identifier and promotion identifier; mapping the initial reduction amount to a cache identifier; caching the initial order data and the cache identifier; receiving an order request from a device associated with the user identifier, the order request being associated with the promotion identifier; calling an API to complete the order request; detecting a failure of the API attempting to complete the order request; retrieving the cache identifier; determining a final reduction amount; and completing the order request using the final reduction amount.

Abstract: A system and method for providing an automated motor vehicle notifications and services system obtains photograph of a vehicle license plate for a violating vehicle, accepts input defining a violation associated with the violating vehicle to generate an electronic parking ticket, transmits the photograph and the electronic parking ticket to a web-based computing system associated with a parking authority, when the license plate indicates an out of state vehicle registration, obtains an online address associated with a state motor vehicle authority in a state matching the license plate, transmits the photograph and electronic ticket to the appropriate state motor vehicle authority, verifies the license plate matches the violating vehicle, when the license plate does not match the violating vehicle, notifies a responsible agent to dispatch a tow truck to remove the violating vehicle, and transmits the photograph and the electronic parking ticket to a web-based driver notification computing system instructing th

Abstract: Provided is an information processing system that enables a customer to shop efficiently. This information processing system is equipped with at least one server that manages an inventory possessed by a virtual store and a physical store, wherein the server uses article identification information capable of uniquely identifying an article to manage the inventory. The server receives a reservation or purchase of an article from a customer terminal. The server then transmits an instruction for displaying, on an electronic tag that is attached to an article and corresponds to received article identification information, an indicator that the article has been reserved or purchased.

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: Embodiments of the invention are directed to a system, method, or computer program product for providing an intelligent quality accelerator with root mapping system. The system provides a business language model and process automation that stratifies sampling of resource exchanges from products using a machine learning loop and provides an end to end simulation for root cause analysis. In this way, the system provides two layers, a robust sampling and root cause analysis.

Abstract: A computing system for identifying tasks at risk in a collaborative project includes one or more processors configured to execute, during an inference-time phase, a collaborative project management program and a machine learning model. The collaborative project management program is configured to receive telemetry data associated with a task, process the telemetry data based at least in part on one or more task attributes, and output at least one feature associated with the task. The machine learning model is configured to receive, as inference-time input, the at least one feature associated with the task, and, responsive to receiving the at least one feature, output a risk prediction for the task. The system is configured to output an alert when the task is predicted to be at risk of not being completed by a predetermined due date.

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 system and method for allocating drivers to procure targets, such as automobiles. These targets are then transported to a desired drop-off destination. The entire system is automated, such that a requestor may hire drivers that are certified by the system and would satisfy requirements associated with the target, such as proper driver's license and location of the driver relative to the target. The system is powered by an internet based mobile application that is designed to match individual drivers to auto dealers, auction houses, driving transport companies and other businesses and individuals (“requestors”) seeking to move automobiles, goods, services, tasks, etc. from one location to another. The system has been designed to find, organize, and manage drivers and all aspects of the trip on a real time basis and reduce the cost of the existing system.

Abstract: A local workspace access system is associated with a local workspace, reads badge data, and transmits the badge data. A workspace personalization management system receives the badge data, locates an organization associated with the badge data, and transmits the badge data to its associated organization. A server associated with the organization receives the badge data, locates a member of the organization who is associated with the badge data, and transmits the workspace configuration associated with the member to the workspace personalization management system. The workspace personalization management system transmits a keyable code to a messaging service device of the member and transmits the keyable code and the workspace configuration associated with the member to the local workspace access system. The local workspace access system receives member input of the keyable code, and verifies that the inputted keyable code matches the keyable code received from the workspace personalization management system.

Abstract: Certain aspects involve providing automated performance monitoring of statistical models. For example, a processing device is used for performing a statistical analysis on information in an archive to extract historical data, scores, and attributes. The processing device calculates performance metrics based at least in part on the historical data, scores, and attributes. The processing device pre-calculates summary performance data based at least in part on the performance metrics. The summary performance data is stored in files with predefined layouts, which are stored in a non-transitory, computer-readable medium. Segmented data is presented from a file to a user through a graphical user interface (GUI). In some aspects, various reports of the segmented data are presented interactively by detecting a selection by the user of a segmentation and displaying the corresponding segmented data.

Abstract: A system and method for generation of automated forecasts for a subject based on one or more input parameters. The subject located at an end node of a hierarchy. The method includes: receiving historical data associated with the subject; determining the sufficiency of the historical data based on a feasibility of building a machine learning model to generate a forecast with a predetermined level of accuracy using the historical data; building the machine learning model using the historical data when there is sufficiency of the historical data; building the machine learning model using historical data associated with an ancestor node on the hierarchy when there is not sufficiency of the historical data; generating a forecast for the subject using the machine learning model based on the one or more input parameters; and outputting the forecast.

Abstract: Embodiments may be used to evaluate completed inspection jobs using updated pipe segment data obtained by inspecting a rehabilitated pipe after completion of a project. One embodiment provides a method of generating an infrastructure project summary, including: collecting, using one or more sensors of an inspection robot, pipe segment data relating to the one or more pipe segments; the second pipe segment data comprising one or more of laser condition assessment data and sonar condition assessment data; generating infrastructure summary data for at least a part of the network using the pipe segment data, comparing, using a processor, first and second infrastructure summary data; generating, using the processor, a parameter of the infrastructure project summary based on the comparing; and including the parameter of the infrastructure project summary in a project summary report. Other embodiments are disclosed and claimed.

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: The present disclosure is related to Just-In-Time (JIT) services, that discloses a method and system for providing JIT services to automotive users. A Point of Interest (PoI) service aggregator system may receive a service request from an automotive user, including one of: information related to a preferred PoI service provider, request to recommend PoI service providers, or request to list PoI service providers based on user query. Based on service request, the PoI service aggregator system may perform one of: dynamically on-boarding the preferred PoI service provider, recommending PoI service providers, or providing PoI service providers based on user query. Thereafter, a real-time synchronization may be established between a candidate PoI service provider and the automotive user to enable the candidate PoI service provider to determine arrival events including an estimated time of arrival and non-arrival events of the automotive user, to provide JIT service to the automotive user.

Abstract: Embodiments of the present disclosure disclose a method for remotely managing a cleaning quality for an indoor location being cleaned. The method includes accessing a training dataset including a plurality of plot points and associated signal strengths of a predefined signal received from a fixed network device, where at least one plot point is preselected based on a predefined cleaning attribute associated with a physical spot corresponding to the at least one plot point; receiving the predefined signal at a position in the indoor location from the fixed network device, where the received signal has a second signal strength and the position is determined proximate to the plot point based on the second signal strength and each of the signal strengths; and calculating a cumulative duration spent at the determined position based on a predefined cleaning schedule to assess the cleaning quality for the physical spot.

Abstract: A lumber use designation system includes a building construction plan that shows the layout, wall thickness, wall height, ceiling angles, etc., of a structure, which are color coded from a series of color codes each corresponding to a preselected, standard board size and length of lumber that should be selected for constructing a particular portion of the structure. The system includes a supply of lumber boards marked with a color code correlating to the color code found on the construction plans. The lumber boards may be imprinted by an ink spray head. A method of installing lumber during the construction of a structure is disclosed.

Abstract: A method, system and computer program product for managing a calendar application. A need to optimize a calendar is identified. Furthermore, a period of time to optimize the calendar is received or identified. All the scheduled events (e.g., scheduled meetings) in the calendar are then selected during that period of time. The attendees, topics and flags, if any, for each of the selected scheduled events during the period of time are extracted. Prior collaborations with the user involving the extracted attendees and/or topics of the selected scheduled events are identified. Collaboration data (e.g., participants/senders/attendees, topics) is then extracted from the identified prior collaborations. A list of actions (e.g., delegate scheduled event to another user) is generated to be performed on a selected scheduled event based on the extracted collaboration data. The generated list of actions to be performed on the selected scheduled event is then presented to the user.

Abstract: A system described herein may provide a technique for identifying states associated with service providers based on biometric, sensor, and/or other information associated with a set of service providers. A request for service may be received, and a particular service provider may be selected based on a particular state associated with the particular service provider, as determined based on the biometric, sensor, and/or other information associated with the particular service provider. State information associated with a requestor of the service may be identified and used as a factor in selecting the particular service provider to respond to the service request.

Abstract: A computerized method for controlled testing, comprising: providing a design specification for event data, the design specification including at least one of an event data source, an event data filter, and an event format; retrieving testing metrics; configuring testing events based on the design specification, by: retrieving testing events from the event data source specified in the design specification; filtering the retrieved testing events based in the design specification; and formatting the filtered testing events based on the design specification; generating analysis data by applying testing metrics to the configured event data; generating output data based on testing rules; and generating a user interface to display the output data.