Abstract: A system for commissioning a smart luminaire (122A, 122B) in an indoor positioning system (100) includes a mobile device (110) including a mobile device control processor (112) in communication with a commissioning application (117), the commissioning application configured to communicate with one or more position beacons (120A, 120B) distributed throughout a spatial volume of a structure, the one or more position beacons configured to broadcast a unique identifier within the spatial volume via a wireless communication protocol, and to receive a transmission from the mobile device; a wireless transceiver (118) in the mobile device configured to receive the broadcasted positions, and to transmit data to the one or more position beacons, and the commissioning application configured to authenticate itself to the position beacon, and to programmatically change the unique identifier.

Abstract: Systems, methods, and computer-readable storage media are described for estimating real estate property values based on an adjusted repeat sales model using a regularized estimator. In one exemplary embodiment, a computer-implemented method calculates data for estimating the adjustments from an aggregated level to a first disaggregated level by marking a first transaction to a second transaction using a repeat sales house price index function at the aggregated level. The method also determines, using the calculated data, a regularized estimate of the deviation between the repeat sales house price index at the aggregated level and a repeat sales house price index at the first disaggregated level. The method further calculates the repeat sales house price index at the first disaggregated level based on the determined regularized estimate of the deviation from the aggregated level.

Abstract: Embodiments of the present provide a method, system and computer program product for the automated launching of an e-meeting. In an embodiment of the invention, a method for meeting invite management includes creating in a C&S system an event from an e-mail invite to attend an e-meeting. Subsequently, the invite is parsed to extract into memory a hyperlink to the e-meeting, a user identifier and password. Thereafter, macro logic is generated that is programmed to access the e-meeting at the hyperlink and to authenticate into the e-meeting utilizing the user identifier and password. Finally, the macro logic is associated with a user interface control and the user interface control is embedded into the created event in the C&S system.

Abstract: Systems and methods are disclosed for generating consumer analytics for products placed in online shopping carts. A profiler computing system generates a unique tacking profile for associating purchase events by a purchaser. Payment vehicle data and a tracking element are associated with the identified purchaser profile. The purchaser profile may be generated based on purchase information associated with an initial purchase event by the purchaser. The profiler computing system determines whether products abandoned in online shopping carts are purchased at brick-and-mortar affiliates or other merchant forums. Other embodiments are described and claimed.

Abstract: Various embodiments of the present disclosure provide systems, methods, and apparatus systems, methods, and apparatus that provide computerized optimization of a customer service queue based on customer device detection technologies. In an exemplary embodiment, a system that provides computerized optimization of a customer service queue may include device detection technology communicatively connected to a customer assistance server, a customer assistance client device (e.g., a customer representative device), and a customer device. Device detection technology may detect a device and transmit data associated with the detected device to a customer assistance subsystem. A customer assistance subsystem may generate an optimal representative and position within a customer service queue for the customer device. A notification about the optimal match may be transmitted to a customer and/or customer representative.

Abstract: The method comprises: retrieving, from a database, a plurality of optimal study paths selected by a plurality of students, wherein each of the plurality of optimal study paths is a combination of courses and their order during a plurality of study terms; determining an estimated attendance for each of a plurality of courses designated in the plurality of optimal study paths; assigning class hours to each of the plurality of courses based on the estimated attendance; optimizing the assignment of class hours of the plurality of courses, wherein the optimization maximizes a number students registered to their respective study paths; and generating an optimal course catalog based on the optimized assignment of class hours.

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 and system for operating an enterprise in accordance with an optimized enterprise level business model. A model optimization engine is iteratively processed based on an updated benchmark value and model, until updating the benchmark value involves changing the benchmark value by less than a predetermined benchmark value error threshold to generate the optimized enterprise-level business model. The enterprise is operated in accordance with the optimized enterprise level business model, including: generating and dynamically displaying real-time performance measures of usage of a computer resource during execution of a business process, determining from the performance measures that the computer resource is a bottleneck, and the computer resource's usage is optimized using the performance measures to reduce data throughput delay and increase throughput of bottleneck operations during execution of the business process.

Abstract: The present subject matter discloses system and method for executing prescriptive analytics. Simulation is performed from an input data (xinput) and simulation parameters (?) to generate simulating data (D). Further, forecast data may be predicted by processing the simulating data (D) using predictive model (M). Further, prescriptive value (x?) may be determined based on the forecast data by using optimization model. The prescriptive value (x?) may be determined such that an objective function associated with the optimization model is optimized, whereby the optimization of the objective function indicates business objective being achieved. Further, the steps of simulating, predicting and determining may be iteratively performed until the objective function is not further optimized, satisfying predefined condition.

Abstract: A method for managing plan problems across planning cycles includes accessing a first plan generated in a first planning session of a first planning cycle, identifying one or more first plan problems reflected in the first plan, and storing and persisting plan problem data associated with the one or more first plan problems for access in one or more successive planning cycles. The method includes accessing a second plan generated in a second planning session of a second planning cycle subsequent to the first planning cycle, identifying one or more second plan problems reflected in the second plan, and comparing the one or more first plan problems identified for the first planning cycle with the one or more second plan problems identified for the second planning cycle. The method includes determining whether the second plan problem corresponds to any first plan problem identified for the first planning cycle.

Abstract: An approach is provided for rationalizing operational data. Persisted knowledge of previous data transactions is determined to not include a previous data profile matching a current data profile. Stochastic data sampling generates a sample of a current dataset. Data size and shape corrections are determined and updated by iterations of a statistical inference technique. Data in the sample is corrected by using the data size and shape corrections to provide a confidence level exceeding a threshold. Persisted knowledge configurations are updated with parameters of the statistical inference technique, the data size and shape corrections, and filtering rule(s). A recommended modification of a query of a current data transaction is determined to provide data in the current dataset with the level of confidence exceeding the threshold. The recommended modification is applied to the query.

Abstract: Disclosed is a system for providing customer assistance for a product in a retail store. The customer accesses customer assistance through a mobile application on their mobile device. If available, a physical customer assistance associate provides assistance to the customer. If a physical customer assistance associate is not available, a remote customer assistance associate provides assistance to the customer. If neither a physical and/or remote customer assistance associate is available, the customer may select a comparison of the product with related in stock products. A comparison may also be selected in combination with a physical and/or remote customer assistance associate.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify non-traditional asset-bundles for purchasing groups using social media. An example method includes identifying an asset-bundle in a social media message and generating a profile for a user associated with the social media message. The example method also includes identifying a plurality of social media messages posted by cohorts of the user based on the generated profile and classifying the asset-bundle based on occurrences of the asset-bundle in the plurality of social media messages.

Abstract: An imaging device captures movements and/or non-movements of an operator of a Point-Of-Sale (POS) terminal during an ongoing transaction at the POS terminal. Events from the POS terminal are combined with the captured movements and/or non-movements to determine or predict what steps the operator should next do in furtherance of the ongoing transaction. Those steps are automatically communicated to the operator of the POS terminal for the transaction to progress.

Abstract: A system includes a first client device that is coupled to a second client device. An apparatus, coupled to the first and second devices, includes a storage device coupled to a processor. The storage device stores software instructions for controlling the processor that when executed configures the processor to generate a listing of expected values and referral events associated with a tracked matter. Each referral event corresponds to a different expected value and the distributed listing includes a sequence of units corresponding to different expected values and corresponding referral events. The processor receives a notification from one of the first or second device that is representative of a referral operation between the first and second location. The processor determines an outcome value for the referral operation and identifies whether the determined outcome value is accurate based on the distributed listing.

Abstract: According to various aspects of the subject technology, systems and methods for qualifying solar leads are described. In certain implementations, data about utility customers and/or other information are used to identify high-quality solar leads, thus reducing the amount of extraneous work for installers and resulting in an overall reduction of the total cost of solar implementations.

Abstract: A system includes devices and sensors associated with a construction site for a project. A computing apparatus, communicates with the devices and the sensors, includes a storage device and a processor. The storage device stores software instructions for controlling the processor that when executed by the processor configures the processor to obtain a predetermined construction schedule with terms for the project. The processor obtains sets of data that each corresponds to a different term. The processor generates a distributed listing for the project, which includes a sequence of a plurality of units corresponding to different terms and sets of data. The processor receives a signal from one of the sensors, wherein the signal is representative of a progress event. The processor identifies whether the progress event at the site corresponds to one of the terms in the schedule and updates and saves the distributed listing when a correspondence is identified.

Abstract: A method of automated remote terminal benchmarking includes providing a computing system including a processor having an associated memory which implements a benchmarking algorithm. The benchmarking algorithm implements receiving raw data associated with a plurality of Key Performance Indicator (KPIs) including real-time data from different bulk liquid terminals spanning sites across a plurality of continents, and calculating a global target benchmark value or global target benchmark range for at least a first of the plurality of KPIs from the raw data. Responsive to a user' request at a selected first of the different bulk liquid terminal (first terminal), a benchmark report is generated which benchmarks a KPI performance of the first terminal including for the first KPI by a comparison to the global target benchmark value or global target benchmark range.

Abstract: Systems and methods for optimizing allocation of configuration elements in a service engagement. A plurality of Service Level Agreements (SLAs) corresponding to a service engagement is received. A Service Level Agreement (SLA) of the plurality of Service Level Agreements (SLAs) includes a plurality of configuration elements and a plurality of SLA compliances. A model is created by allocating a subset of the plurality of configuration elements to meet the SLA. The model is simulated to verify the plurality of SLA compliances being met by the subset allotted. Based on the simulation, a time series data indicating behavior of the model is obtained. The model is optimized to obtain an optimal allocation of the plurality of configuration elements. The model is optimized by allocating another subset of the plurality of configuration elements to meet the SLA.