Abstract: An operational analytics system includes a plurality of access point devices and an electronic controller. The plurality of access point devices are configured to receive a wireless signal for at least one wireless device. The electronic controller is configured to receive a signal strength indicator for the at least one wireless device from the plurality of access point devices, calculate a position of the at least one wireless device based on the signal strength indicator for the at least one wireless device, and configured to determine a time the wireless device remains at the position, and when the time exceeds a threshold time, perform a mitigation operation.

Abstract: An example apparatus includes audience metrics collecting circuitry to access first audience metrics from a server, and access second audience metrics from the server, matrix building circuitry to build a matrix of the first audience metrics and the second audience metrics, missing values of the matrix corresponding to the second audience metrics, data transforming circuitry to transform the first audience metrics and the second audience metrics in the matrix, missing value calculating circuitry to determine imputed transformed values of the missing values using a recommender system, and the data transforming circuitry to recover imputed values of the missing values based on the imputed transformed values.

Abstract: Systems and methods of the present disclosure enable the prediction of activity distribution across mediums of activities by employing processors that receive an activity record history across channels of mediums of activity. A candidate activity channel profile of a future activity channel is received that includes candidate channel attributes including: a medium attribute identifying the medium, and an activity category attribute identifying a category of activities of the future activity channel. Cannibalization forecasting models are used to predict channel metrics based on the candidate channel attributes and model parameters trained on the activity record history. New candidate channel attributes are automatically generated that improve the at least one channel metric based on the at least one channel metric, and a new candidate activity channel profile is automatically modified using the new candidate channel attributes. The channel metrics are displayed on computing devices associated with users.

Abstract: Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Abstract: A matching unit configured to match face data of a customer based on image data acquired by a camera in a shop against face data stored in a storage unit, a behavior information acquisition unit configured to acquire behavior information according to a behavior of the customer in the shop, and a condition determination unit configured to determine whether or not to store the face data into the storage unit based on the behavior information acquired by the behavior information acquisition unit in a case where the matching fails are provided.

Abstract: Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for presenting cross-sell products. The program and method provide for receiving indication of a user selection to display cross sell data for at least one product made available for purchase by a website; determining a set of cross-sell products for the at least one product, each cross-sell product in the set of cross-sell products having been previously sold together with the at least one product in association with website; determining, for each cross-sell product in the set of cross-sell products, a set of metrics that relate the cross-sell product to the at least one product; and causing, for each cross-sell product in the set of cross-sell products, display of the respective set of metrics that relate the cross-sell product to the at least one product.

Abstract: A method and system for cloud based service provider performance evaluation are disclosed. The method may include extracting service record data and ticket status change record data from the service ticket data and aggregating the service record data and the ticket status change record data. The method may include calculating ticket level performance metric data based on the aggregated record data and generating ticket level performance scores based on the ticket level performance metric data. The method may further include generating service level performance scores based on the service level performance metric data and generating service feedback performance scores based on the service feedback metric data. The method may further include merging the ticket level performance scores, the service level performance scores, and the service feedback performance scores to generate performance vectors and evaluating overall performances of the service providers based on the set of performance vectors.

Abstract: The present invention relates to a system and method for assessing performance of a software release in a production environment. The attempt is to measure impact of delivered features and correlate with cost incurred in building those features to calculate a return on investment made. The disclosure, thus, provides for fetching relevant details from plurality of tools or data sources, correlating the fetched information and linking it with milestone data. This milestone data is labeled with a milestone id to enable querying of data sources and determine impact delivered. The determined impact is linked with calculated cost identifier to finally assess the release performance.

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: The disclosure generally pertains to systems and methods to predict a vehicle preference of a customer of a rental vehicle agency. An example method to do so involves a computer executing a prediction procedure to obtain and evaluate information associated with a customer. The information can include vehicle ownership history and/or monitoring data obtained from vehicles used by the customer (a personal vehicle, a taxi, and/or a ride share service vehicle, for example). The information may be evaluated by the computer to determine a personal profile of the customer. The personal profile can include items such as physical attributes of the customer, family size, driving characteristics, and/or past vehicle ownership. The personal profile of the customer may then be used by the computer to predict a type of vehicle preferred by the customer and to select, from a vehicle fleet, a vehicle that matches the preferred type of vehicle.

Abstract: In some embodiments, systems and methods are provided herein useful to assess or determine available cargo capacity for multiple commercial product delivery vehicles (“delivery vehicles”). In some embodiments, systems are provided to assess delivery vehicles and may include multiple electronic user devices each having a delivery agent interface operating thereon and an association with one or more delivery agents. At least one control circuit is communicatively coupled to the electronic user devices. By one approach, the control circuit may estimate delivery requirements for purchased orders, which includes volume requirements and geometric configurations of purchased orders.

Abstract: A plan model system provides interactive graphical user interfaces allowing users to view and navigate to multiple alternative views of measures modeled in one or more planning models. A modeled event is provided by a user relating to a measure of a particular plan model modeling outcomes of a particular business domain of a business organization. An effect of the event on values of one or more measures of the plan model is determined. A graphical representation is presented in the graphical user interface illustrating the effect.

Abstract: The present disclosure includes an object to acquire information indicating a tendency on a visit spot for each vehicle sort. The present disclosure provides an information processing apparatus including a controller configured to execute: acquiring first information about a plurality of vehicles, the first information including vehicle information about a vehicle, the first information not being capable of identifying an individual user or an individual vehicle but reflecting at least part of attributes or preferences of a user associated with the vehicle, and spot information about a visit spot of the vehicle; and acquiring tendency information indicating a tendency on the visit spot of the vehicle for each vehicle classification based on the vehicle information, from the first information about the plurality of vehicles.

Abstract: Methods, systems and computer program products for shared content management systems that provide performance analytics pertaining to a project. Embodiments include establishing one or more network communication links between a content management system that manages a plurality of shared content objects and a plurality of applications that cause modifications to the shared content objects in accordance with workflows of the project. Iteraction events that correspond to modifications over the shared content objects are recorded such that interaction events associated with the plurality of applications are selected based at least in part on attributes associated with the interaction events. Relationships between the recorded interaction events such as time durations between certain of the interaction events are calculated. Project performance measurements are generated based on the calculations and/or based on other relationships between the interaction events.

Abstract: Embodiments are directed to executing one or more campaigns. Initialization identifiers may be provided to campaign agents associated with campaign owners. The campaign agents may be associated with campaigns based on the initialization identifiers. Resource collection requests may be provided to sources based on source information provided by the campaign agents. Metrics may be provided based on monitoring actions of the sources. Outlier characteristics associated with the resource collection requests may be identified based on a comparison of the metrics to other campaigns. The resource collection requests may be modified based on predicted metrics associated with the outlier characteristics. The modified resource collection requests may be provided to the sources associated with the outlier characteristics. Resources provided from the sources may be distributed to the campaign owners.

Abstract: Embodiments herein are directed to a vehicle floating fleet vehicle system for determining a location of a user and one or more car-sharing vehicles. The system includes a server computing device operated by a floating fleet service provider. The server computing device includes at least one processor; a memory communicatively coupled to the at least one processor; and machine readable instructions stored in the memory. The machine readable instructions cause the vehicle floating fleet system to perform at least the following when executed by the at least one processor receive a request for the one or more car-sharing vehicles, determine the one or more car-sharing vehicles in one or more nearby gated parking facilities, send information about the one or more car-sharing vehicles to the user, and receive a selected car-sharing vehicle in a nearby gated parking facility of the one or more nearby gated parking facilities from the user.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises predicting details associated with collected data of an activity by generating a simulated activity based on a result associated with a plurality of attributes within the collected data associated with the activity; simulating the activity within a virtual reality environment by generating virtual items for assistance with a performance of the simulated activity within the virtual reality environment; in response to receiving user feedback for each generated virtual item based on the simulated activity, generating a need-based inventory from user input based on an analysis of the received user feedback for each respective item associated with the simulated activity within the virtual environment; and automatically obtaining each respective item within the generated need-based inventory.

Abstract: An information processing apparatus comprising a traffic line information generation unit configured to generate, based on information provided from an image capturing apparatus arranged in a store, traffic line information in the store of a customer who visits the store, an acquisition unit configured to acquire purchased product information associated with a product purchased by the customer in the store, a purchase information generation unit configured to generate purchase information based on the purchased product information by associating the traffic line information and the purchased product with the customer, and a display information generation unit configured to generate, based on the purchase information, display information for displaying information about one of a customer and a product in association with a time taken to select the purchased product and a selection order of the purchased product.

Abstract: A communication by a particular user within a digital collaboration is determined as related to a particular business entity. A relationship between one or more additional business entities and the particular business entity is identified from one or more business models. The communication is associated with the additional business entities based on the relationship.