Abstract: A computer device, a method, and an apparatus for business flow scheduling. The method for business flow scheduling includes determining that a transaction savepoint is configured on a to-be-scheduled node, creating an asynchronous task according to the transaction savepoint, where the asynchronous task includes a to-be-scheduled task that is on the to-be-scheduled node and that is after the transaction savepoint, using a first thread to execute a transaction that includes a task in the flow other than the asynchronous task, and submitting the transaction executed by the first thread in order to ensure data consistency, and using a second thread to execute the asynchronous task in order to implement transaction splitting between task nodes.

Abstract: A system and method for best practice based budgeting is described. In a preferred embodiment, adaptive financial information model is created out of transaction data, best practice data, and payment history data. A combination of workflow information, client defined strategies, and client past transaction and payment history is utilized in determining the model.

Abstract: In some embodiments, systems, apparatus and methods are provided herein useful to improve store management by reducing the instances that may cause lost sales or result in a customer assistance inquiry. The solutions disclosed herein allow users to start with sales frequency to identify potential alerts or anomalies and then optionally allows for further customization and/or prioritization regarding the potential anomalies in a way that will address specific needs or concerns of a particular system user and allows for the system to be tuned or changed over time as desired.

Abstract: Techniques described herein relate to analyzing location-based transaction systems, based on data from multiple client devices detected and received via multiple communication networks, and providing customized data to client devices associated with particular locations and/or users of the transaction system. The characteristics of a transaction system and/or specific client locations of the transaction system may be determined, based on data received from multiple client devices. A back-end system may receive data from one or more digital kiosk systems associated with particular locations in a transaction system network, various mobile computing devices of users, and client computers within the transaction system. One or more back-end servers may analyze the data to determine various characteristics of the transaction system and/or characteristics of one or more particular locations in the transaction system network.

Abstract: A method of monitoring customer service interactions includes the acquisition of video data. The video data is analyzed to track a location of a customer and to track a location of an agent. An interaction between the customer and the agent is identified based upon an intersection of the respective tracked locations of the customer and the agent and a dwell time of the customer and agent at the intersection.

Abstract: The present invention is directed towards a method for evaluating driver performance. In exemplary embodiments, the method comprises receiving driver activity associated with a driver of a vehicle in a fleet, determining a driver score based on predetermined criteria and generating and updating a driver profile based on the driver activity and evaluating the driver score to generate rewards for the driver and updating the driver profile accordingly.

Abstract: Methods and apparatus to collect impressions associated with over-the-top media devices are disclosed. Example disclosed methods involve receiving, at a first Internet domain, a first request from a first client device, the first request including a client device identifier associated with a second client device, and associating the client device identifier with demographics at the first Internet domain, the demographics corresponding to a user of the first client device. Example disclosed methods involve receiving, at the first Internet domain, a second request from the second client device, the second request indicative of media accessed at the second client device, and storing an impression of the media at the first Internet domain by associating a media identifier obtained from the second request with the demographics based on the same client device identifier being associated with the media identifier in the second request and being associated with the demographics.

Abstract: In one or more embodiments, when an online meeting is being organized, the number of invitees is monitored. Based on the number of invitees, the meeting organizer is automatically prompted to alter the meeting type.

Abstract: Methods and systems may relate to clustering of repair orders based on alternative repair indicators. Accordingly, a processor may determine that a particular computer-readable vehicle repair order (RO) corresponds to an existing cluster of ROs due to the particular RO including data that refers to a particular vehicle symptom. This existing cluster may be arranged to contain ROs that correspond to the particular vehicle symptom. In response to determining that the particular RO correspond to the existing cluster, the processor may determine that the particular RO includes data indicating an alternative repair that defines a vehicle repair for resolving the particular vehicle symptom other than by replacement of a particular vehicle component. Responsively, the processor may add the particular RO to a different cluster of ROs. This different cluster may be arranged to contain ROs that correspond to the particular vehicle symptom and to the alternative repair.

Abstract: The present disclosure extends to methods, systems, and computer program products for generating attribute tables for holding attributes and modifying the table structure during run time by appending the record column file corresponding to the attribute table.

Abstract: In some examples, a service provider may receive, from a buyer device, an order for an item from a merchant for delivery to a delivery location. The service provider may determine predicted courier travel times to the merchant location and from the merchant location to the delivery location, and may determine a first payment amount based on the predicted courier travel times. The service provider may further predict other courier time associated with the order, other than travel time, such as based on a courier wait time associated with the merchant. The service provider may determine a second payment amount based on the predicted courier other time. The service provider may send, to a courier device of a courier selected to deliver the order, information about the order including a payment amount for the order based on the first payment amount and the second payment amount.

Abstract: An automated valuation system for an entity, that uses specific input attributes items and a plurality of primary token features that are disposed within a specific geolocation, in addition, a plurality of valued entities input data set items and a plurality of secondary token features that are disposed within the same geolocation. Recently evaluated entities are qualified by being within first and second ranges of first and second matched items to the specific entity, wherein common features are removed, and remaining features are given a tokenized grouping and weight via an algorithm to explain valuations differences between recently evaluated entities. These weights are used determine a calculated value of the specific entity by determining a calculated attribute value based upon the weight of the features associated with the specific entity.

Abstract: Machine logic (for example, software) for determining a placement mode of at least one kind of objects in a multiplicity of storage areas are disclosed. A placement method includes the following operations: determining attraction factors of the multiplicity of storage areas, an attraction factor of each storage area indicating a capability that the storage area attracts attention of a customer; determining a spatial elasticity factor of the at least one kind of objects, a spatial elasticity factor of each kind of objects indicating an impact of a change of the storage areas where the kind of objects are placed on an attention degree of the kind of objects; and determining the placement mode of the objects in the multiplicity of storage areas, at least according to the attraction factors of the multiplicity of storage areas and the spatial elasticity factor of the at least one kind of objects.

Abstract: A system and method for providing symbolic mode checking of business application requirements. A language allows for building a model for the business process, the model comprising a plurality of actions, with each action having a precondition and a postcondition or outcome. Specifications are constructed for the properties of the business applications with the specifications describing both the states of the business process and the order in which they may occur. Finally, the model and the specifications are analyzed to determine if the model satisfies the specifications. If the model fails to satisfy the specifications, a problem may be indicated in the business application. The process can be automated to permit the system to make assumptions for conducting a thorough analysis of selected potential problem areas in the application.

Abstract: A computer-implemented method for presenting content based on information detected in real time includes: receiving first information corresponding to detection of at least attendance at a physical location; selecting, in real time with the detection, at least one winning bid based on the first information, the at least one winning bid conditioned on the first information meeting an attendance criterion; and providing at least one winning content item associated with the selected winning bid to a content presentation device at the physical location.

Abstract: Methods of providing services to individual and methods of manufacturing items are described. Data structures to represent priority values for those individuals or items are also described. By ascribing priority values to a set of items, those items can be grouped based on those priority values. Once grouped based on priority values, the items within each group can be manufactured according to group priority as well as according to the characteristics of each item to be manufactured within that group. The same concept applies to providing services to individuals.

Abstract: Price for one or more products is optimized by considering competitor and/or consumer behavior relating to the products. A control set is generated to include one or more products. Also, a test set is generated to include one or more products of the same type as products in the control set. A feature of the products in the test set is changed while the feature of the products in the control set is maintained. Competitor and/or consumer response to the change is measured. Based on the response, a recommendation is generated with respect to the feature of the products in the test set. According to one implementation the recommendation may be a recommendation to lower the price of the products in the test set.

Abstract: Methods of providing services to individual and methods of manufacturing items are described. Data structures to represent priority values for those individuals or items are also described. By ascribing priority values to a set of items, those items can be grouped based on those priority values. Once grouped based on priority values, the items within each group can be manufactured according to group priority as well as according to the characteristics of each item to be manufactured within that group. The same concept applies to providing services to individuals.

Abstract: A method and a system for organizing management information within an enterprise are provided. The method includes storing an enterprise bill of process (eBOP) comprising a plurality of enterprise process events and at least one respective threshold for each enterprise process event in an information engine and receiving enterprise process data relating to the plurality of enterprise process events from an information engine. The enterprise process data includes historical data relating to the enterprise process events, real-time current information relating to the enterprise process events, predicted data based on the historical data, the current data and measured or derived parameters associated with the at least some of the plurality of enterprise process events, and algorithmic models of at least one of the enterprise process events including parameters, variables, and measurements.

Abstract: For distributed analysis of time-series data in a smart entity environment, the data is received from a data source in the environment. An overall analysis of the data is distributed to a first node in the environment. In a network operating the environment the first node is at a smaller distance from the data source as compared to a second node. A first portion of the overall analysis is performed on the data at the first node to produce a first conclusion. The first conclusion is routed to the second node. The second node performs a second portion of the overall analysis. Using the first conclusion, from the first node, a first action is caused to occur on a component of the environment. The data source is associated with the component, the data is indicative of a condition in the environment, and the component participates in the condition.