Abstract: A computer-implemented method for prescriptive time-series forecasting, which combines both what-if analysis and goal-seeking analysis. The method comprises building a model for a target metric with a set of predictors, based on historical time-series data, and computing, using the model, a set of forecast values. Using the set of forecast values with respect to a forecasting period, both a set of goals for the target metric and a set of constraints for the predictors are analyzed. A set of updated forecasts based on the analyses with respect to the forecasting period is determined to meet the goals within the set of constraints. The updated set of forecasts is presented with respect to the forecasting period, e.g., using a table, a visualization, and/or an interactive user interface.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of determining a lifetime value (LTV) for customers of a retailer, segmenting the customers into customer states based upon one or more purchases made by each customer at the retailer within a predetermined period of time, determining a first average LTV for customers in a first customer state and a second average LTV for customers in a second customer state lower than the first average LTV, coordinating a first display of a first online advertisement for customers in the first LTV to transition the customers from the first customer state to the second customer state, and coordinating a second display of a second online advertisement for customers in the second state.

Abstract: A system may include an aggregate model comprising a plurality of modules, a monitoring dashboard in communication with the aggregate model, and a search-marketing campaign manager in communication with the aggregate model, the monitoring dashboard, and a search engine entity. Additionally, the system may include a bidding interface in communication with the aggregate model and a search engine entity and/or a monitoring dashboard configured to generate model adjustment data. The search-marketing campaign manager may be configured to determine trend data, measured marketing indicators, or both, from one or more of marketing data or historical data.

Abstract: A method for the automated time tracking of events in a calendar and the use of the same to generate invoices, which includes detecting an event record creation request received from a user, monitoring, based on the event record creation request, user input including event details for an event record, identifying a control character within the user input, while monitoring the user input, populating, in response to identifying the control character, a list comprising one or more contacts from a contact group of the user, displaying, to the user, the list of the one or more contacts, receiving a selection of a contact from within the list, and inserting an identifier of the contact within the event record, based on the selection.

Abstract: Various embodiments are directed to techniques for organizing fulfillment of enterprise products, such as by using a request manager informed by enterprise resources and resource utilization to recommend a facility to fulfill a product request. Some embodiments are directed to identifying a product request and determining the equipment and skills necessary to fulfill the product request. Based on this information and location data, embodiments may determine a set of facilities as candidates to fulfill the request. A machine learning model may be used to analyze current resource utilization of the facilities and predict facility availability and estimated completion times for the request fulfillment. A candidate facility may be recommended for fulfillment of a request based on facility availability and estimated completion times. In some embodiments, historical resource utilization may be used to inform further staffing and equipment service decisions.

Abstract: A part chain management system and method for generating chain sequences for parts in the aftermarket services industry is disclosed. Data on various parts and their substitutes is obtained from an engineering data management (EDM) team and translated into pair wise substitutional relationships represented in a known part substitutional relationship network. The system and method derive a part chain representation from known part substitutional relationships and inferences determined therefrom. The system and method can refine or filter the part chain representation based on rules such as business relationships. The system and method analyzes inferred part substitutional relationships for conflicts, which are either resolved automatically using conflict resolution rules or are referred for manual resolution. Following conflict resolution, the inferred links are finalized and used along with known links to generate a final part substitutional relationship network.

Abstract: A computer-implemented method for prescriptive time-series forecasting, which combines both what-if analysis and goal-seeking analysis. The method comprises building a model for a target metric with a set of predictors, based on historical time-series data, and computing, using the model, a set of forecast values. Using the set of forecast values with respect to a forecasting period, both a set of goals for the target metric and a set of constraints for the predictors are analyzed. A set of updated forecasts based on the analyses with respect to the forecasting period is determined to meet the goals within the set of constraints. The updated set of forecasts is presented with respect to the forecasting period, e.g., using a table, a visualization, and/or an interactive user interface.

Abstract: Disclosed is a method and system for managing digital maturity by an organization. The system may receive inputs related to digital adoption by an organization. The system may process the inputs using an assessment model. The assessment model may comprise assessment dimensions, assessment sub-dimensions, and assessment characteristics. Based on the processing of the inputs, the system may determine digital maturity results. The digital maturity results may comprise current digital maturity levels, target digital maturity levels, and digital maturity gaps. The system may suggest steps for achieving the target maturity levels, in order to improve digital maturity of the organization.

Abstract: Various embodiments are directed to techniques for organizing fulfillment of enterprise products, such as by using a request manager informed by enterprise resources and resource utilization to recommend a facility to fulfill a product request. Some embodiments are directed to identifying a product request and determining the equipment and skills necessary to fulfill the product request. Based on this information and location data, embodiments may determine a set of facilities as candidates to fulfill the request. A machine learning model may be used to analyze current resource utilization of the facilities and predict facility availability and estimated completion times for the request fulfillment. A candidate facility may be recommended for fulfillment of a request based on facility availability and estimated completion times. In some embodiments, historical resource utilization may be used to inform further staffing and equipment service decisions.

Abstract: Methods, systems and computer program products for wastage estimation are provided herein. A computer-implemented method includes receiving, via a user interface, selection of a product for which an estimation of wastage incurred in manufacture thereof is desired and determining one or more orientation suggestions for the selected product, the one or more orientation suggestions including suggestions for imaging different views of the selected product for use in estimating the wastage incurred in manufacture thereof. The method also includes providing, via the user interface, one or more prompts for imaging the selected product at the one or more orientation suggestions, thereby obtaining images of the selected product, utilizing the obtained images of the selected product to calculate an estimated wastage incurred in manufacturing the selected product, and displaying, via the user interface, a display element indicating the estimated wastage incurred in manufacturing the selected product.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A computer based media, method and system for developing at least one context frame that summarizes a measure performance situation for one or more levels of one or more organizations, providing applications for managing the measure performance that adapt to the performance situation by using a context frame and a database that automatically captures and incorporates any changes in the measure performance situation.

Abstract: Systems and methods for using wireless communication devices to track the effects of advertising are described herein. In some embodiments, a method includes representing the identity of an advertising impression, that is, a specific advertisement, with an impression code. According to exemplary embodiments, the advertising impression is directed to at least one commodity, such as one or more products and services. The method may also further include receiving the impression into a computer-readable memory of a wireless communication device. The method further includes detecting the wireless communication device, and then providing the impression code during the purchase of the commodity. The method continues with obtaining the identity of the advertising impression from the impression code.

Abstract: Various embodiments of the present invention are directed to a mapping management computer system. According to various embodiments, the mapping management computer system may be configured for updating geographical maps by assessing map data and operational data including vehicle telematics data to identify portions of a vehicle path that do not correspond to known travel paths. In various embodiments, the system is configured to define these identified portions as new known travel paths corresponding to a public road, private road, parking lot lane, or the like, and update the map data to reflect the new known travel paths.

Abstract: The present disclosure involves systems and computer implemented methods for performing a failure analysis on a device monitored by at least one connected device, where in response to a determination of an impending failure, at least one corrective action is determined and suggested to the user of the monitored device. In one example, operations include monitoring operations of at least one monitored device using at least one connected device, determining a projected life span of the at least one monitored device based on the monitored operations, and, if the projected life span of the monitored device is less than a threshold amount, determining a corrective action to perform. A proposal can be generated for presentation based on the corrective action. The proposal may be based on the estimated cost of the determined corrective action and an analysis of an account.

Abstract: Mechanisms are provided to implement a brand comparison engine. The mechanisms receive a request to compare brand personalities of a first specified brand and a second specified brand and obtain a first brand personality scale associated with the first specified brand and a second brand personality scale associated with the second specified brand. The mechanisms calculate at least one gap value indicating a difference between at least one personality trait in the first brand personality scale and a corresponding at least one personality trait in the second brand personality scale. The mechanisms also output an output indicating an aspect of the at least one gap based on the calculation.

Abstract: A device and a method of providing a to-do list of a user are provided. The device includes a controller configured to collect behavior information about behavior between the user and another user, the behavior being performed by using the device, generate a to-do list of the user based on the collected behavior information, and determine an unperformed task not performed by the user from among at least one task in the to-do list by using log information about an operation of the device, and an output unit configured to output notification information in a dialogue style, along with a notification reason for notifying the determined unperformed task.

Abstract: Determining an optimal responsiveness for accurate surveying may be provided. In some examples, an application, such as a survey application, may receive a request to present a survey to a participant. Contextual data associated with the participant in relation to the survey may be requested and received from a data service. The contextual data may be analyzed to identify responsiveness conditions to increase a likelihood of participation by the participant in the survey. The responsiveness conditions may include a time duration. The survey application may provide the survey to a client application associated with the participant to prompt the client application to initiate the survey during the time duration.

Abstract: A method of Key Performance Indicator (KPI) performance analysis and a dynamic Model Predictive Control (MPC) process model for an industrial process including measured variables (MVs) and controlled variables (CVs) for an MPC controller are provided. The MPC process model includes at least one KPI that is also included in a business KPI monitoring system for the industrial process. A future trajectory of the KPI and a steady-state (SS) value for the KPI are estimated. The future trajectory and SS value are used for determining dynamic relationships between key plant operating variables selected from the CVs and MVs, and the KPI. A performance of the KPI is analyzed including identifying at least one cause of a problem in the performance or exceeding the performance during operation of the industrial process from the dynamic relationships and a current value for at least a portion of the MVs.

Abstract: Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.