Abstract: Systems and methods are provided for identifying and communicating with a user through the user's mobile device. One example method includes receiving, from the mobile device, a user identifier associated with the user and an entity identifier associated with an entity location, the entity identifier being obtained by the mobile device from a wireless transmitter located adjacent to an entrance of the entity location; retrieving user profile data associated with the user identifier from a user database, the user profile data including a user qualifier; providing the user profile data to a display device at the entity location, the display device configured to display the user profile data, including the user qualifier; and sending at least one notification to the mobile device for display thereon, the at least one notification comprising at least one of information related to the entity location and a portion of the user profile data.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform generating a staffing demand; applying a smoothing algorithm to normalize the respective time intervals; rounding the respective minimum number of staff for the each of the staffing roles; analyzing the respective minimum number of staff across the staffing roles in the proposed staffing schedule for compliance with a ratio compliance standard; and transmitting the respective proposed staffing schedule to a respective interface of a respective user device for each of the one or more stores. Other embodiments are disclosed.

Abstract: The present disclosure relates to a system, method and non-transitory computer readable medium. The system includes at least one computer-readable storage medium including a set of instructions and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the at least one processor is directed to: receive a triggering event in the absence of input from a user terminal associated with a user; obtain one or more candidate destinations based on the triggering event; obtain a trained ranking model; determine a ranking result of the one or more candidate destinations based on the trained ranking model; and transmit the ranking result to the user terminal in response to the triggering event.

Abstract: Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a benchmarking service. In an example, an apparatus is configured to access input data, wherein the input data is representative of a current project; parse the input data to generate one or more input project units; extract one or more features from the one or more input project units, wherein the features are representative of at least one of project statistics, project bugs, project releases, project documentations, and organization data; receive a benchmarking model, wherein the benchmarking model was derived using a historical data set; and generate an output based on the benchmarking model and the one or more features, wherein the output is configured to provide an evaluation of the current project in the form at least one of a score and one or more recommendations.

Abstract: An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

Abstract: A method, computer system, and a computer program product for dynamic role assignment is provided. The present invention may include identifying a crisis event based on data collected by one or more internet-connected sensors. The present invention may then include selecting an incident plan based on the identified crisis event. The present invention may then include communicating an incident role to a registered device of a crowd member.

Abstract: Techniques for leveraging data in a data marketplace environment are provided. For example, a method comprises the following steps. A representation of one or more data valuations for a given data set is obtained. The representation of the one or more data valuations for the given data set is converted into a value for presentation to a data marketplace environment. The data marketplace environment comprises one or more data marketplace protocols that each enable one or more data consumers to obtain data. The method brokers a transfer of the given data set through at least one of the data marketplace protocols to at least one data consumer. The method manages transfer of the given data set to the at least one data consumer and receipt of a result of the transfer from the at least one data consumer.

Abstract: Techniques for generating an item transmission portal are described herein. First information for a plurality of carriers may be maintained which includes a capacity for each carrier. Historical capacity requirements for geographic locations may be maintained. For each geographic location a forecast of future capacity requirements, for each week of a plurality of weeks, may be generated based on the historical capacity requirements. A plurality of documents may be generated for each geographic location based on the forecast and the first information. A value may be determined for each document based on a time and capacity commitment for each document, the historical capacity requirements, and the forecast. A user interface may be generated that includes the plurality of documents and corresponding determined values. The user interface may be updated to reflect acceptance of a specific document by a carrier in response to input received via the user interface.

Abstract: Systems and methods are provided for receiving a request for forecasting data to use for new product introduction, the request comprising an indication of a plurality of existing products and accessing data for a plurality of existing curves corresponding to the plurality of existing products. The systems and methods further provide for, based on determining that at least a subset of curves of the plurality of curves comprises a plurality of values, analyzing each value of the plurality of values for each curve of the subset of curves to determine a maximum number of values among all of the curves of the subset of curves, generating a text file comprising a maximum number of value columns corresponding to the maximum number of values, and populating the text file with the data for the plurality of existing curves, including the plurality of values for each curve of the subset of curves.

Abstract: A vehicle ride-sharing assist system includes a terminal including a user interface and a terminal processing unit; an action information managing server; and a ride-sharing managing server configured to create an operation schedule based on a desired ride-sharing condition, which includes at least one of a departure place, a departure time, an arrival place, and an arrival time of each user, transmitted from the terminal processing unit. The ride-sharing managing server is configured to set a recommended ride-sharing condition, which includes at least one of the departure place, the departure time, the arrival place, and the arrival time suitable for each user, based on the action information and transmit the recommended ride-sharing condition to the terminal processing unit. The terminal processing unit is configured to cause the user interface to display the recommended ride-sharing condition on receiving the recommended ride-sharing condition from the ride-sharing managing server.

Abstract: A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy. The processor may parse the scraped first information to determine an initial prediction relating to an outcome of the pending policy. The processor may access second information to identify an action likely to change at least one of the initial prediction and the propensity of at least one policymaker, to thereby generate a subsequent prediction corresponding to an increase in a likelihood of achieving the desired outcome. The processor may display to the system user a recommendation to take the action in order to increase the likelihood of achieving the desired outcome.

Abstract: Apparatuses, computer readable medium, and methods are disclosed for verifying skills of members of an online connection network. The apparatus, computer readable medium, and methods may include a method including responding to a first member of the online connection network indicating a skill possessed by the first member by selecting a skill verification user interface (UI) to present to a second member of the online connection network where the first member and the second member are connected via the online connection network. The method may further include presenting the skill verification UI to the second member, where the skill verification UI presents an indication of the first member, an indication of the skill, and a query regarding a competence level of the skill possessed by the first member. The method may further include receiving a response to the query and determining a skill validation value of the skill for the first member based on the response and a machine learning model.

Abstract: A computing system comprises a database of garments in a retailers inventory, a database of users, a database of garments not in inventory, and a database of mappings, wherein a mapping maps one or more users of the database of users to one or more garments of the database of garments and wherein each mapping includes a weight for its corresponding user-garment pair.

Abstract: A method for managing customers for a store includes generating first account identification information from stored account information of a customer. The method also includes transmitting a list of candidate payees within a predefined distance of a current geolocation of a personal communication device of the customer and identifying the store as a party to a transaction with the customer based on feedback. The method still further includes receiving, from the store, a transaction message indicating the customer is a counterparty to the transaction, the transaction message comprising second account identification information received at the communication device of the store from the customer. The method also includes determining the first account identification information matches the second account identification information.

Abstract: A system includes a virtual queue controller configured to receive an indication of a reduced capacity event from an amusement park attraction, determine a reduction in capacity of the attraction, identify each guest having a return time in a virtual queue of the attraction that is affected by the reduced capacity event, remove guests having affected return times from the virtual queue, and generate a reaccommodation time slot for the guests removed from the virtual queue, select two or more updated return times within the reaccommodation time slot for each of the guests removed from the virtual queue, provide a notification to each guest removed from the virtual queue requesting guest input to select a single updated return time from the two or more updated return times, and return each guest to the virtual queue upon receiving a corresponding selection of the single updated return time.

Abstract: Out of office management is provided to an institution and customers of the institution. Employee data can be monitored of one or more employees of the institution. A likelihood an employee is out of office is determined. A set of projects of the employee that are affected by the out of office is determined. The projects are analyzed to determine departure scores for each project of the set of projects. The projects are ranked according to the departure scores to determine criticality of each project. The projects are reassigned based on the employee data and the ranking. Customer sentiments are monitored after reassignment for machine learning to affect future out of office reassignments.

Abstract: Techniques for providing alerts in a system that implements an organizational management platform to manage applications for an organization are disclosed. The method can include accessing organizational data associated with the organization. A rule having a condition for activation of a trigger can be received from a user interface. A dependency map having data objects that are associated with the rule can be generated by the system. A change in a first data object from the data objects can be determined. Additionally, a dependency between the rule and the first data object can be determined based on the dependency map. Moreover, the condition for the activation of the trigger can be determined to be satisfied based on the determined change. Subsequently, an action associated with the activation of the trigger can be performed based on the condition for the activation of the trigger being satisfied.

Abstract: There is disclosed a method and system for determining a productivity rate of a user in a computer-implemented crowd-sourced environment. The method comprises, in a training phase: acquiring a training project; determining, set of project-specific features indicative of one or more characteristics of the training project; acquiring, a plurality of training results; determining a set of user-task specific features; determining, a user activity history associated with the user; generating a set of training data including the set of project-specific features, the set of user-task specific features, and the user activity history; training a machine learning algorithm (MLA), the training including: determining, a set of features representative of a property of the set of training data; and generating an inferred function based on the set of features, the inferred function being configured to determine the productivity rate of the user for a given project.

Abstract: A method of aiding the design of a data center is disclosed. In one aspect, the method refers to generating a list of components from a library that satisfy a defined list of needs.

Abstract: An automatic service monitor in an information technology environment has its operation controlled by information that, in part, defines entities that perform services and defines key performance indicators (KPIs) that indicate measures of performance of the services. Additional information controls the operation of the service monitor with respect to identifying and adapting for KPIs based on the non-normal data caused by maintenance work or other causes. Such adaptation may include changes in how reported information appears to the user.