Abstract: A method and system of initiating a subscriber interface at a client subscriber device coupled to a server device.

Abstract: Various systems and methods are disclosed for enabling a consumer's creation of a communication (e.g., letter, e-mail) addressed to a provider of goods and/or services. Manually and/or automatically by providing access to one or more existing data repositories, the user completes a software-presented questionnaire, and responses are used by the system to customize and populate a templated form. The form identifies, elaborates and, in some cases, quantifies problems with the provider's performance. The system focuses on form letters by consumers to businesses, thereby increasing its depth while avoiding unnecessary complexity. Some embodiments also (at the user's instruction) submit portions of the communication to third parties (e.g., regulatory agencies), track delivery of the communication, and provide background information relating consumer communications with businesses. Some embodiments are tailored to requirements of providers for selected correspondence (e.g.

Abstract: A patrol check system according to one aspect of the present invention includes at least one data collection device installed in a first position in an area in which facilities are installed, the data collection device being configured to collects measured values indicating a state of at least one facility installed in a first range around the first position, the facility belonging to a check target of the data collection device, the measured values being measured by a measurement device installed in the facility, and a patrol check device configured to acquire the measured values collected by the data collection device, and reflect the acquired measured values in a check result of a check record in which check items to be performed on the facility belonging to the check target of the data collection device are included.

Abstract: A method is provided in accordance with an aspect of the present disclosure. The method includes processing data related to a group of contacts, where the data includes at least one attribute related to each of the contacts. The method also includes defining the at least one attribute based on a probability distribution of a context in relation to attribute values of the at least one attribute for all contacts. The method further includes determining clusters of contacts based on the probability distribution of the context in relation to the attribute values of the at least one attribute for all contacts, and constructing a plurality of segments of similar contacts by using the clusters.

Abstract: A method for collecting and processing user input. In some embodiments the method includes presenting a first user with a prompt for eliciting a first response, the first response including a numerical portion including one or more numbers, and an explanatory portion; receiving, from the first user, the first response; receiving from each of a plurality of other users, a respective response of a plurality of other responses; and displaying, to the first user, an ordered list of other responses. Within the ordered list, a second response, of the plurality of other responses, may be earlier than a third response, of the plurality of other responses, the second response being, according to a measure of distance, more distant, than the third response, from the first response.

Abstract: Methods and systems for resource and organization achievement are described. In one embodiment, outcome data associated with a resource may be received. The outcome data may include an outcome time period, an outcome title, an outcome priority, an outcome status, and an outcome access level. The outcome status may identify progress by the resource toward an outcome. The outcome access level may define resource access to an outcome item. The outcome data may be stored in a database. A display of an outcome item associated with the resource may be generated based on at least a portion of the outcome data. The outcome item may represent the outcome for the resource. Additional methods and systems are disclosed.

Abstract: Efficiency improvements for electronic task managers and an improved user experience are realized when more relevant and fewer irrelevant tasks are presented to users and users are given greater control in manipulating those task items. By heuristically determining times, locations, and semantics associated with task relevance and integrating the management of tasks into more applications, the functionality of the systems providing for electronic task management is improved, as computer resources are spent with greater utility to the users and the user experience is improved for the users.

Abstract: Methods and systems for forecasting demand for a plurality of items are provided. In particular, the demand forecasting system and methods described herein are useful for predicting demand of products in a retail context. Forecast models are built and used to score incoming sales data to predict future demand for items. Forecast models are validated by evaluating actual demand against predicted demand and using that information to inform how future ensemble forecast will be generated. Forecasts may be broken down into smaller components to satisfy a variety of requests for data from client applications.

Abstract: Computer implemented systems and methods are provided that generate or at least facilitate forecasting and strategy outcomes optimization solution based upon metric analysis of characteristics, and/or other controlled attributes (collectively feature metrics) for products and/or services. A model that represents the relationship between periodic outcome variable (Y) and causal variables (X1 . . . Xn) is formulated using one or more suitable algorithmic techniques or models (e.g., linear regression, time series regression, Bayesian or a combination).

Abstract: A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.

Abstract: Certain example embodiments relate to systems and/or methods for providing enhanced control over potentially sensitive data sharable among and/or between different parties. For example, certain example embodiments provide views into computer-enabled workflows managed by external parties, including views into what sensitive data has been accessed, who has accessed it, etc., e.g., throughout the lifecycle of a product granted on the basis of an analysis of such data. A computer-enabled system for automatically assessing received sensitive data in accordance with one or more digitized rule sets also is provided in certain example embodiments, as are computer-mediated tools for helping to automatically, semi-automatically, and/or manually resolve issues detected in the assessments, e.g., via enhanced communication and collaboration, among and/or between parties to a transaction, as well as third-parties who indirectly are involved in the transaction. The data remains secure and traceable, e.g.

Abstract: In one example, a request may be received to create a digital worker to perform at least one automated task. The digital worker may be created in an organization upon receiving the request. Example digital worker may be a computer program to perform the at least one automated task. Credentials may be generated for the created digital worker. The credentials associated with the created digital worker may be updated in the organizations employee directory. The digital worker may be enabled to perform the at least one automated task upon updating the credentials in the organizations employee directory.

Abstract: Devices, methods, and systems for airside performance analysis are described herein. One system includes a computing device to: receive key performance indicator (KPI) data from a number of different system monitors, correlate the KPI data to generate a number of graphical representations of the correlated KPI data, link the number of widgets to update the corresponding report based on a received selection, and display a number of widgets that generate a corresponding report of the correlated KPI data.

Abstract: One embodiment is directed to a mobile application executing on a smartphone that is used to assist a technician in carrying out electronic work orders. In some embodiments, the mobile application uses a camera in the smartphone to take photos that are associated with one or more steps of the work order. In some embodiments, the mobile application is used to cause one or more LEDs associated with a step of the work order to be illuminated or otherwise visually actuated.

Abstract: A project management system comprising a first, second, third, fourth and fifth processing sequences embodied in a computer readable medium. The first processing sequence is operable to provide a user interface to display a plurality of alert indicia corresponding to a plurality of alert status of a plurality of project requirements. The second processing sequence is operable to convert an incomplete requirement to a complete requirement upon completion of a task corresponding to the incomplete requirement. The third processing sequence is operable to determine the alert status of the requirements of the plurality of projects based on a time difference between a current date and a target date corresponding to each requirement. The fourth and fifth processing sequences are operable override the alert status based on user selections.

Abstract: A system and method for automating scheduling and coordination activities associated with the organizational responsibilities of hosting visitors (whether from the same company or an external organization). System leverages location technologies and other services to track the location of visitors, hosts, and other key participants related to the agenda items. The system performs the matching tracking information of visitor(s), participant(s), and the location of agenda event(s). The design of the described system rests on the assumption that visitors are a special type of person in an organization whose movements are actively tracked and managed through organizational policies and/or practices.

Abstract: Systems, methods and tools for securely scheduling appointments, maintenance and repairs of vehicles. The system may be an automated service kiosk available 24 hours a day. A customer can schedule services, drop off and pick up keys for receiving service at any time that may be convenient for the customer, without regard for the normal operating hours of the service provider and may do so without having to interact with an employee of the service provider. Automated customer recognition may be performed using license scanning or biometric scanning. The user may select a service from a menu of services and deposit keys (or key fobs) within the kiosk system or receive keys therefrom. Upon returning to complete the service transaction customers may scan a paper or digital receipt provided during the initial scheduling of the service and tender payment via the kiosk or using digital currency.

Abstract: Various embodiments herein provide a customized market platform for facilitating on-demand transport and delivery services for customers and service providers. The method supported by computing systems comprises generating matrixes of service request specific preferences and limitations preset by customers and service providers respectively to search for best matching service providers to perform the requested services with the assistance of various sets of indicators and search parameters. The platform provides panels for negotiating service request prices and optional bi-directional evaluation of customers and service providers by adding to either “favorites lists” or “blacklists.” The database incorporated with the platform will be dynamically updated to indicate changes by service providers and customers in their favorites lists, blacklists, preferences, limitations, and indicators.

Abstract: A method for determining critical values includes obtaining N relation functions between M features and N index values, the N relation functions taking the M features as inputs and the N index values as outputs; generating K combinations, each comprising M critical values of the M features; repeating following steps until a preset stop condition is satisfied: determining a score for each of the K combinations based on the N relation functions to represent an overall quality of the N index values; repeatedly selecting two combinations and exchanging critical values between the two combinations to generate two new combinations until a quantity of the new combinations reaches a preset number; and selecting K combinations from the new combinations; and after the preset stop condition is satisfied, associating the M features with the M critical values in a combination with a highest score.

Abstract: A method, system and computer program product for appropriately distributing items using augmented reality. After receiving a list of detected items to be placed in a container(s), an optimal placement of the detected items in the container(s) is determined. Such an optimal placement may be determined by using the dimensions and a maximum weight of items the container(s) can hold, the dimensions of the detected items, a maximum amount of weight for the container the customer can carry as well as other factors. After determining the optimal placement of the detected items in the container(s), a visual representation of such an optimal placement is displayed on an augmented reality device.