Abstract: A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

Abstract: Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.

Abstract: There is provided a method for providing pricing information about a potential migration of a network computing task. The method includes the step of providing a provider availability set, identifying a price qualified set for each cloud service provider, and displaying the information about each cloud service provider and its pricing via a user interface. The price qualified set includes each cloud service provider: (a) whose price for performing the task complies with a price acceptability criteria or (b) that has a respective price proposal associated therewith reflecting a price for engaging the cloud service provider to perform the task in lieu of the task being performed by the network.

Abstract: A computer-implemented method includes receiving process information that specifies one or more process requirements and one or more potential causes of failures associated with processes for manufacturing a design, ii) control information that specifies one or more parameters and one or more values associated with the one or more parameters that facilitate determining whether the one or more process requirements specified in the process information that are associated with the processes are being met, and iii) sensor data associated with the one or more parameters from one or more sensors of a product development environment. Responsive to determining that sensor data associated with a particular parameter of the control information is outside of an associated range of values, a process requirement and a process associated with the parameter is determined based on the process information and the control information.

Abstract: A system, and method for controlling a computing system, comprising: reading a stored energy-performance characteristic of a plurality of different phases of execution of software, an execution of each phase being associated with a consumption of a variable amount of energy in dependence on at least a processing system performance state, the performance state being defined by a selectable performance-energy consumption optimization for at least two processing system components; scheduling a plurality of phases of execution of the software, in dependence on the stored energy-performance characteristics, for each of the respective phases of execution of the software and at least one system-level energy criterion; and executing the phases of execution of the software in accordance with the scheduling.

Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.

Abstract: An auto-replenishment platform may receive retailer, manufacturer, and 3rd party consumer data on a regular time interval, via their e-commerce platforms. The auto-replenishment platform, via a harmonization engine, may aggregate all data sets, mine the aggregated data, and then cluster the data. Subsequently, the auto-replenishment platform may generate a consumer model for predicting the consumer demand for a product, factors that influence a consumer's perception of convenience or ease in purchasing that product, and for aggregating a consumer's purchased products for shipment or pickup. The auto-replenishment platform may send the consumer model to the retailer, manufacturer, and 3rd party e-commerce platforms to integrate the auto-replenishment platform into those platforms.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming problem. Embodiments include receiving a matrix formulation of at least a portion of the linear programming problem representing a supply chain planning problem for a supply chain network, generating an image based on the matrix formulation to identify connected components, partitioning the matrix formulation based, at least in part, on the connected components constraint into at least two partitions, formulating an linear programming subproblem from each of the at least two partitions, and solving the linear programming subproblems to generate a global solution to the supply chain planning problem.

Abstract: Computing technologies for benchmarking, which may be based on a k-Nearest Neighbor (kNN) algorithm or another suitable machine learning algorithm, solve a cold start problem for a recommender engine employing a collaborative filtering algorithm when training data of user preferences or actual data of user actions is not available. For example, the cold start problem's unavailability of labeled data to train and develop a supervised model may be addressed by breaking the cold start problem down into two parts. The first part includes a KNN (or another suitable algorithm) model to cluster profiles based on a set of variables and this implementation of the KNN model is unsupervised, since there is no labeled data available to train the KNN model. The second part includes a prioritization algorithm that leverages certain outputs from the KNN model and neighbors to prioritize benchmarks.

Abstract: A method for obtaining credit card pricing for a merchant includes obtaining a merchant category classification (MCC) code. A sales volume, a number of credit card transactions, an average dollar amount of the credit card transactions and a percentage of credit card transactions that are keyed are obtained. The MCC code, the average dollar amount of the of credit card transactions processed and the percentage of credit card transactions that are keyed are compared with corresponding data from a database of merchant credit card transactions. A matched merchant is identified whose transaction profile closely matches a combination of the MCC code, the average dollar amount of the credit card transactions processed and the percentage of credit card transactions that are keyed. Credit card processing pricing information for the matched merchant is obtained from the database. The credit card processing pricing information is used to calculate credit card processing pricing for the matched merchant.

Abstract: Disclosed herein are system, method, and computer program product embodiments for recommending a service provider. An embodiment operates by receiving a search request specifying a service request by a user and location for the requested service, retrieving prior financial transactions of the user to purchase the service from a database, and determining a preference of the user based on the retrieved prior financial transactions. The embodiment further operates by applying the preference to a model trained to output a recommended service provider and selecting the recommended service provider for display on a user's device. The model more likely recommends service providers in the location having a higher ratio of tip-to-price relative to other providers for the service in the location based on a history of prior financial transactions of a plurality of users.

Abstract: The current disclosure relates to a system and method for providing job-specific training material to an inmate within a controlled environment. In an embodiment, the system authenticates an inmate by receiving at least one authentication request at a control platform from a wireless multifunction device in response to an inmate-initiated action and provides the inmate access to interactive training materials stored on a training database or an employment subsystem configured to provide an interface for the inmate to perform one or more job-specific tasks upon authenticating the inmate. Access to each of the databases or subsystem is provided to the inmate based on a profile corresponding to the inmate and the tasks are completed using a wireless multifunction device.

Abstract: The present disclosure provides method and apparatus for determining a food item from a photograph and a corresponding restaurant serving the food item. An image is received from a user, the image being associated with a consumable item. One or more ingredients of the consumable item in the image is identified along with a location of the user and using a neural network, determining one or more similar images from a database. A restaurant associated with each of the one or more similar images is determined along with a similarity score indicating a similarity between the restaurant and the identified content of the image. The one or more restaurants and/or associated similar food items are ranked based on the similarity score and a list of ranked restaurants is provided to the user.

Abstract: Systems and methods for fixing schedule of tasks using a remote optimization engine are provided. In one implementation, the system may periodically receive from a local server a data associated with a native scheduling engine. The system may process in a stateless manner the data periodically received from the local server using the optimization engine to update a prediction model. The system may also be configured to transmit information associated with the updated prediction model to the local server for enabling improvement of the native scheduling engine.

Abstract: An embodiment includes generating first and second preliminary schedules for respective first and second workers assigned respective first and second tasks, detects a block of time that is part of both the first and second preliminary schedules, and generates respective first and second location predictions for the first and second workers during the block of time. The embodiment calculates a distance between the first and second workers based on the first and second location predictions, and revises, responsive to determining that the distance is less than a threshold value, the second preliminary schedule to replace the first block of time with a second block of time that is not part of the first preliminary schedule. The embodiment generates an access control list that includes the first preliminary schedule as a first access schedule for the first worker for use in responding to access queries.

Abstract: A method for providing a performance dashboard to a user associated with an enterprise comprises retrieving user information pertaining to the user. The method further comprises determining a list of computational tasks associated with generating the performance dashboard based at least in part on the user information. The method further comprises determining a load time for each computational task. The method further comprises identifying at least one computational task having a corresponding load time that is above a load time threshold. The method further comprises replacing the at least one computational task with a plurality of sub-tasks. The method further comprises, subsequent to replacing the at least one computational task within the list of computational tasks with the plurality of sub-tasks, generating the performance dashboard using the list of computational tasks. The method further comprises transmitting the performance dashboard to a web browser of the user.

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: An exemplary non-limiting embodiment of the present invention provides a system that includes a loading/unloading facility, a user apparatus having a user interface configured to communicate with a driver of a delivery/pick-up vehicle, and an administrator apparatus configured to communicate with the user apparatus and the loading/unloading facility. The user apparatus is located remotely from the loading/unloading facility. The driver checks into the user apparatus and the administrator apparatus coordinates arrival of the delivery/pick-up vehicle at the loading/unloading facility.

Abstract: Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

Abstract: A system and method are disclosed including a planner having a processor and memory. The planner models a supply chain network over a planning horizon having one or more time buckets and a production line to produce one or more products using one or more campaign operations and one or more campaignable resources. The planner further formulates a supply chain master planning problem comprising a hierarchy of objective functions and one or more constraints and segments a campaign planning problem into three stages. The planner solves a first stage to determine prioritized production demands on campaignable buffers, solves a second stage to determine a timing and a sequence for allocating campaignable resources to campaignable buffers, and solves a third stage to determine a quantity of products to produce on campaignable resources.