Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to estimate population reach from marginals. Example apparatus disclosed herein are to determine an audience relationship value based on first audience exposure values for a recorded audience of a media and a first de-duplicated audience value for the recorded audience of the media, determine bounds of a pseudo universe estimate of a population audience of the media based on the audience relationship value and second audience exposure values for the population audience of the media, and iteratively determine the pseudo universe estimate of the population audience and a second de-duplicated audience value for the population audience of the media based on the audience relationship value and the second audience exposure values, the pseudo universe estimate of the population audience to be within the bounds.

Abstract: Auditing of page profile data on sources is disclosed. Normalized reference location data associated with attributes of an entity location are obtained. Page data from the profile of the entity location on a source is collected. The collected page data is normalized. It is determined whether the page data on the profile of the entity location on the source is valid at least in part by comparing the normalized collected page data against the normalized reference listing data. An audit score is assigned to the profile of the entity location on the source based at least in part on the validity determination. Output is provided based at least in part on the audit.

Abstract: Provided is a process including segmenting a representation into a set of tiles and obtaining a set of geolocations. The process includes, for each tile, determining a respective amount of devices within the respective tile to form a set of weights. The process also includes assigning each tile of a subset of the set of tiles with a set of groups based on the set of weights, building a first map based on the set of groups, and building a second map by traversing the first map. The process also includes determining a first and second subset of devices by traversing the second map, determining whether a second tile is to be assigned to a first or second group based on the first and second subset of devices, assigning the second tile to the first group, and building a region map comprising the set of groups.

Abstract: A system and method for analyzing wearable sensor data in reconciliation with calendar entry data. A computer processor is coupled to a user configurable calendar system and a user wearable device. The processor detects one or more user activity events from one or more electronic wearable devices associated with the user and detects one or more user calendar events from a user configurable calendar system. The processor is configured to determine a course of action to be taken by the user based upon the one or more calendar events and the detected one or more user events.

Abstract: In one embodiment, a method is provided. The method includes receiving forecast information from sales people in a computer. The method further includes receiving comments on specific entries of the forecast information from non-sales people in the computer. The method also includes receiving changes of the forecast information from the non-sales people in the computer. The method additionally includes providing a display of the comments and the changes to the sales people in an interface to the computer.

Abstract: An illustrative embodiment provides a computer-implemented method, computer system, and computer program product for identifying potential client churn. Client profile information is aggregated for a set of clients. Tax services data related to providing tax services for the set of clients is aggregated. A number of former clients who have terminated the tax services is modeled according to the client profile information and the tax services data. The client profile information and the tax services data for a number of current clients who have not terminated the tax services is compared to the modeled number of former clients. A number of at-risk clients is identified from among the number of current clients based on dissimilarities between the current clients and the former clients. The number of at-risk clients are displayed on a graphical user interface.

Abstract: A method and a case management system are described. The case management system enables the user to generate and update a case plan for a client of an organization. The case plan includes a set of goals and a set of action items for each one of the goals that are defined based on goal templates and action item templates.

Abstract: A method for automatically generating, in real-time, for display on a display, a simplified network layout from an initial network layout including one or more lines each connecting a plurality of nodes. Graph information is provided indicating vertices representing geographic positions of the nodes and edges representing connections between the nodes. The nodes are repositioned to optimize an objective function based on readability of the simplified network layout. Nodes and edges are discretized using interpolation to align a plurality of the nodes and connect the aligned nodes using simplified k-linear segments, where k-linear segments are parallel to one of k equidistant orientations whose angles are multiples of 180/k degrees, with k larger or equal to two. The simplified network layout is provided for a display.

Abstract: A behavioral load shaping (BLS) system can be implemented to encourage consumer reductions in resource consumption. To accomplish this, consumption reports detailing resource consumption can be generated and transmitted to consumers to encourage resource consumption. A series of resource consumption reports can be generated and transmitted to consumers at regular time intervals throughout a calendar year informing the consumer of the rates the consumer is being charged for peak hour and non-peak hour resource consumption. To encourage the consumer to reduce their resource consumption, especially during peak hours, the resource consumption report can include information or insights as to how the consumer can reduce his/her resource consumption especially during peak hours. The resource reports can also include information regarding changes in the peak hours and non-peak hours. The resource reports can also inform the consumer that the consumer is about to exceed a high resource bill threshold.

Abstract: Methods and systems for evaluating a query perturbation, in a cell based assay representing a test state, are provided. Control data points having dimensions representing measurements of different features across control cell aliquots are obtained. Test data points having dimensions representing measurements of different features across test cell aliquots are obtained. A composite test vector is computed between measures of central tendency across the control data points and measures of central tendency across the test data points. Query perturbation data points having dimensions representing measurements of different features across perturbation cell aliquots are obtained. A composite query perturbation vector is computed between measures of central tendency across the control data points and measures of central tendency across the plurality of query perturbation data points.

Abstract: Workflows stored in a workflow database are annotated, each of the workflows including an ordered sequence of steps. Sub-workflows are extracted from the workflows by splitting the workflows into sub-workflows at annotations that exist between the steps, a first of the sub-workflows including the respective annotation as an output of the first of the sub-workflows, a second of the sub-workflows including the respective annotation as an input to the second of the sub-workflows. Annotations in common between the sub-workflows are identified, including identifying beginning sub-workflows that include the respective annotation as an output and identifying ending sub-workflows that include the respective annotation as an input. The sub-workflows are recombined into new workflows by splicing together the sub-workflows at the annotations in common, such that each new workflow is formed from one of the beginning sub-workflows followed by one of the ending sub-workflows.

Abstract: Systems, methods, and other embodiments associated with computing and generating schedule data structures for items in a display are described. In one embodiment, a method includes accessing a sales data structure corresponding to a store and analyzing sales records for items associated with subcategories to calculate a subcategory profit contribution score for each subcategory. The method may also include selecting a first subcategory from the subcategories as a candidate subcategory of items and analyzing the sales records to calculate an item profit contribution score for each of the items assigned to the candidate subcategory. A first item is selected from the candidate subcategory to be placed on a promotional display space, based upon the item profit contribution score of the first item. A schedule data structure is generated that assigns the first item to the promotional display space.

Abstract: Computerized systems and methods for facilitating coordination for multiple individuals are provided. Search parameters are received and a plurality of individuals that satisfy the search parameter(s) is determined and provided. A user is able to select multiple individuals at the same time to coordinate from within the plurality of individuals. Once selected, a process for each of the selected individuals is launched. A plurality of scheduling options, based on an activity or event input, is provided. The plurality of scheduling options includes a time for each individual selected to be scheduled/processed. Once a scheduling option is selected, times within the selected scheduling option are locked such that (1) no other user can access the selected times and (2) processes for each of the multiple selected individuals may be completed in the same application without the need for opening separate processes for each process.

Abstract: A machine learning system for forecasting demand implements an improved process using event streams for predicting the impact that events in the geographic area surrounding an establishment have on demand forecasts for the establishment. A range of distances from the establishment can be determined and divided up into different distances. Event streams can be generated from the events by grouping the events into combinations of event attributes, such as event category and the distance of the event from the establishment. The event streams can be provided as inputs along with demand data for computing demand forecasts that account for increased or decreased traffic patterns in the geographic area surrounding the event. The event streams can be filtered based on the magnitude of the impact the events have on the demand for the products and/or services of the establishment before, during and after the event takes place.

Abstract: A maintenance management system is disclosed. The system includes a processing device, a plurality of components in communication with the processing device, each component having a location associated with the component and one or more sensors for capturing usage data associated with the component, and user devices in communication with the processing device. Usage data of components is communicated to the processing device. The processing device determines from the usage data whether any of the components requires maintenance. The location of each respective component requiring maintenance is communicated to at least one of the one or more user devices from the processing device.

Abstract: Exemplary embodiments provide a transportation staffing management system. An amount of transportations miles are forecasted for delivering inventory from a distribution enter to a store based on a sales forecast for a store. Non-driving time for drivers engaged in delivering inventory to a store is tracked based on data collected in real-time from mobile computing devices associated with delivery vehicles. An amount of time needed to deliver the inventory based on the forecasted amount of transportation miles and non-driving is calculated. An optimal transportation workload is generated for the distribution center based on the amount of time, data from a first database storing data from a central office, and data from a second database storing data from a distribution center.

Abstract: An automated advertising scheduling and distribution process reacts to the effectiveness of sales data. A hosted platform creates location-specific playlists based on key consumer variables that impact buying behavior, and dynamically performs data analytics. Utilizing a programmatic system and machine learning algorithmic methodology, the platform gathers data from the retailer's data warehouse and automatically pulls location-by-location sales data while simultaneously collecting playback data. If sales are not being affected on the particular item that is being promoted, then the platform may be configured to replace that message with a promotional message for another product with a higher likelihood of engagement and conversion. This virtual feedback loop ensures that the platform is optimizing the most effective series of promotional messages for any given location.

Abstract: A method, system, and computer program product for determining customer migration: obtain first feature data for a plurality of users associated with a first time period; segment the plurality of users into a plurality of groups based on the first feature data; identify a center point of each group based on the feature data; obtain second feature data for one or more users of the plurality of users associated with a second time period; determine a distance between the one or more users and each center point of each group based on the second feature data; and assign the one or more users to a group of the plurality of groups based on the distance between the one or more users and each center point of each group.

Abstract: A transportation request processing device includes: a memory; and a processor coupled to the memory, and configured to: receive, from a terminal of an orderer, a transportation request to transport a target person or object to a destination by a vehicle traveling by remote driving and to deliver the target person or object to a recipient, divide a task corresponding to the transportation request into a remote driving task of causing the vehicle to travel by remote driving, and a safety check task of checking a periphery of the vehicle when delivering the target person or object to the recipient at the destination, and transmit information of the remote driving task to a first terminal of a first contractor who will undertake the remote driving task, and transmit information of the safety check task to a second terminal of a second contractor who will undertake the safety check task.

Abstract: Task assignments are identified. A dataset that includes one or more electronic messages is received. Then, one or more pending tasks in the dataset are identified, and each of a plurality of people who are mentioned in the dataset is also identified. Then, for each of the pending tasks, one or more of the identified people are identified as potentially being people who are assigned to complete the pending task, and the pending task is associated with these identified one or more of the identified people. For each of the pending tasks, one or more of the identified people are also identified as potentially being people for whom the pending task is to be completed, and the pending task is also associated with these identified one or more of the identified people.