Abstract: A service provider may receive item price information and/or point of sale (POS) transaction information from a plurality of merchant devices associated with a plurality of merchants. The service provider may categorize the plurality of merchants according to the types of items offered by the respective merchants, and may further categorize the merchants according to the locations at which they conduct business. The service provider may subsequently determine a price recommendation or other pricing information for a particular item offered by a particular merchant. A merchant device of the particular merchant may present the pricing information in a user interface that enables the merchant to view projected sales at various different price points. Further, the merchant may be able to specify one or more factors used for determining the recommend price, such as a desired business model, a desired clientele, a desired profit margin, or the like.

Abstract: Methods and apparatuses allow an insurance agency to track their current performance in managing existing customers and bringing in new customers. A tool may obtain information from a user regarding characteristics of the user's agency and/or agency goals. The tool may use this information to determine an agency's business efficiency. The tool may also provide advice regarding marketing spending and/or additional human resources needed. The tool may benchmark an insurance agency against other agencies in the market. The tool may also display how generated leads are converted to new business and/or income for an agency.

Abstract: According to an embodiment, a method of allocating a job to a user comprising: receiving an allocation request signal from a terminal of the user; determining job processing information related to a job processed by the user; allocating at least one job among a plurality of jobs to the user based on the job processing information; and transmitting allocation information indicating the allocated at least one job to the terminal in response to the reception of the allocation request signal may be provided. According to an embodiment, a job allocation apparatus for performing the above-described job allocation method may also be provided. According to an embodiment, a computer readable recording medium containing a computer program for performing job allocation method may be provided.

Abstract: A change monitoring system and method includes or involves, in an embodiment, a data storage device having a plurality of instructions. The instructions are executable to direct one or more processors to access reference gaming deployment data based on an electronic communication with a processor that is associated with a gaming environment. The reference gaming deployment data is related to one or more gaming units that have been operated in the gaming environment during a first period of time. The one or more gaining units correspond to a reference gaming deployment in the gaming environment during the first period. Also, the instructions are executable to direct the one or more processors to access changed gaming deployment data based on the electronic communication with the processor. The changed gaming deployment data is related to a change to the reference gaming deployment that has resulted in a changed gaming deployment that was implemented during a second period of time after the first period.

Abstract: A customer analysis device acquires replies from a user who receives a financial service to one or more first type questions defined for surveying an action desire for the financial service and calculates an action indicator based on the one or more replies. Subsequently, the customer analysis device acquires replies from the user who receives the financial service to a plurality of second type questions defined for surveying a customer emotion for the financial service and calculates a plurality of types of emotion indicators based on the plurality of replies. The customer analysis device calculates correlation coefficients between the action indicator and each of the plurality of types of emotion indicators, and graphically displays an influence of each of the plurality of emotion indicators on the action indicator based on the calculated correlation coefficients.

Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.

Abstract: Various systems and methods for engagement dissemination. A face detector detects a face in video data. A context filterer determines a student is on-platform and a section type. An appearance monitor selects an emotional and a behavioral classifiers. Emotional and behavioral components are classified based on the detected face. A context-performance monitor selects an emotional and a behavioral classifiers specific to the section type, Emotional and behavioral components are classified based on the log data. A fuser combines the emotional components into an emotional state of the student based on confidence values of the emotional components. The fuser combines the behavioral components a behavioral state of the student based on confidence values of the behavioral components. The user determine an engagement level of the student based on the emotional state and the behavioral state of the student.

Abstract: In the field of government engagement management, an agent guide or script-flow in an employee desktop web client is implemented. In such a system and method, when agents create interactions with clients they can follow a script-flow which will guide the agent through the interaction through a series of menu selections and automated sets of instructions. This feature of the government engagement management system allows existing customer investment from the rich desktop client or non-web client in developing specific scripts, that can also now function in the web client atmosphere. This system and method also enables an agent to handle calls with the web client more efficiently, and allows agents on the web client to automatically classify.

Abstract: A robotic system includes retrieval of a priori stimulus based on an input that indicates a current health state and a target health state of a user. A set of test stimuli specific for the user is determined and a stimulus device is controlled to provide the set of test stimuli to the user. A first set of responses within the body of the user and a second set of responses discernible on the body of the user are determined, and a set of stimulus parameters for the stimulus device is calibrated based on the combination of the first set of responses, the second set of responses, the current health state, the target health state, and a trained AI-based system. A new stimulus is applied to a portion of the body of the user that shifts a condition of the user from the current health state towards the target health state.

Abstract: Systems and methods are provided for generating inferred reviews of service providers based on user behavior data for one or more users. The user behavior data used to generate the inferred reviews information representing a number of visits to the service provider. Additional or alternative user behavior data that may be used includes information that represents how far a user travels to a service provider, how many similar service providers the user passes on the way to the service provider, a typical time for services at the service provider, or a length of time the user has been a customer or attendees of the service provider. A service provider may include a merchant, a hotel, a physician, a contractor, another service provider that provides goods or services for a cost or may include non-profit service providers, charity-based service providers or public locations such s parks, rest stops, or other locations.

Abstract: In an approach for real-time opportunity discovery for productivity enhancement of a production process, a processor extracts a set of features from time series data, through autoencoding using a neural network, based on non-control variables for the time series data. A processor identifies one or more operational modes based on the extracted features including a dimensional reduction with a representation learning from the time series data. A processor identifies a neighborhood of a current operational state based on the extracted features. A processor compares the current operational state to historical operational states based on the time series data at the same operational mode. A processor discovers an operational opportunity based on the comparison of the current operational state to the historical operational states using the neighborhood. A processor identifies control variables in the same mode which variables are relevant to the current operational state.

Abstract: A method for online contents registration is provided. The method includes registering a contents manuscript to a contents management server, registering a voice source generated by a voice actor to the contents management server based on the contents manuscript, providing the voice source to a user through the contents management server, registering video contents created by the user to the contents management server based on the voice source, and distributing profits generated based on consumption or distribution of the created video contents.

Abstract: A system includes a machine-learning device configured to receive data associated with an aircraft. The data includes a flying time associated with one or more flight phases of travel to a destination airport, temperature data associated with one or more of the flight phases, and a number of occupants on board the aircraft. The machine-learning device is configured to process the data to generate prediction data regarding usage of an auxiliary power unit of the aircraft and to generate a message based on the prediction data. The message indicates at least one of an estimated number of on/off events of the auxiliary power unit or an estimated duration of use of the auxiliary power unit.

Abstract: A method and system for automatic task time estimation and scheduling comprising the steps of: (1) storing a plurality of media items; (2) defining an aggregate task; (3) storing participant data and historical time data; (4) determining a plurality of metadata attributes; and (5) determining a final time estimate.

Abstract: A method for determining whether a given run of a process having a defined protocol is on a trajectory for successful completion is provided. The method includes the step of initiating a run of the defined protocol of the process. During the initiated run, obtaining information reflecting variables that may affect the quality of the process. A preferred trajectory model for achieving a successful implementation of a process is also obtained. The information reflecting the variables that affect the quality of the process are compared with the preferred trajectory model. This comparison allows a determination of offset of the value of the determined variables to the value of the same variables of the preferred trajectory model. The magnitude or amount of offset is indicative of the whether the run initiated in step is on a path or trajectory for success.

Abstract: Techniques described herein relate to computer-implemented systems and methods for generating an insurance business plan. The method includes receiving an identification of an agent associated with the insurance business plan and a selection of a future time period for the insurance business plan. A business plan objective graphical user interface (GUI) is displayed, presenting for selection a plurality of insurance business plan objectives, wherein one of the objectives is to grow or maintain insurance policy counts for one or more insurance lines of business. The business plan objective GUI receives a selection of the objective to grow or maintain insurance policy counts for one or more lines of business. Based on a determination that the objective to grow or maintain insurance policy counts for one or more lines of business has been selected, a plurality of insurance lines of business is displayed.

Abstract: A data set comprising records of state change events of items of an item collection, as well as records of asynchronous operations associated with the items, is obtained. The numbers of records in the data set may differ from one item to another. Using the data set, a Bayesian forecasting model employing a deconvolution algorithm is trained. The model generates estimates of metrics of a type of asynchronous operation using a combination of a category-level distribution of the asynchronous operation, an item-level distribution, and a category-versus item adjustment. A trained version of the model is stored.

Abstract: A system includes a memory configured to store a first acoustic profile associated with a device. The first acoustic profile includes at least two of the following acoustic characteristics: frequency, amplitude, and time. The system further includes a processor communicatively coupled to the memory and an acoustic sensor. The processor is configured to receive, from the acoustic sensor, an acoustic signal comprising one or more of the frequency and amplitude, compare the received acoustic signal to the first acoustic profile, and determine that the received acoustic signal matches the first acoustic profile based on the comparison of the received acoustic signal to the first acoustic profile.

Abstract: A system, method and computer readable medium for generating and maintaining a resource deployment map for a project over a communications network includes a database for storing the resource deployment map including a set of tasks, dependencies between tasks, a predefined period of time required for completing each task, a set of resources, and assignments of the set of resources to the tasks, a web server for receiving project change information including a modified set of resources, and time delays in the tasks, identifying integration points in the resource deployment map, wherein an integration point comprises tasks, assigning the modified set of resources to the tasks as follows: assign all resources necessary for a first integration point, assign all remaining resources necessary for a next integration point, repeat the previous step until all resources are assigned, and generating a revised resource deployment map based on the modified set of resources, and time delays.

Abstract: Aspects of the disclosure relate to controlling enterprise software policy compliance assessment processes based on quantum combinations of assessment elements. A computing platform may receive an assessment dataset and may generate a time-independent requisite work dataset. The time-independent requisite work dataset may include assessment information identifying a plurality of real branded assessment quanta and priority information identifying a plurality of priority scores. Each priority score of the plurality of priority scores may correspond to an assessment quantum of the plurality of real branded assessment quanta. The computing platform may optimize the time-independent requisite work dataset by aggregating related assessment quanta associated with the plurality of real branded assessment quanta, and this may produce a prioritized schedule of application assessment quanta.