Abstract: Techniques are described for routing service requests in a service environment. Received requests received may be analyzed to determine characteristics of each request, including a category of the request, a difficulty of the request, and the individual who submitted the request. A list of pending requests may be presented in a user interface (UI) according to a hierarchical set of filters. A service representative (SR) may select a pending request to handle and, in response, a service session may be initiated between the SR and the individual who submitted the request. Each request may be assigned a point value according to a set of configurable rules, e.g., based on the difficulty of the request, the amount of time it has been pending in the queue of requests, and/or other characteristics. The point value of the request may be added to a score of the SR who handles the request.

Abstract: A device can receive, from a user device, a request for a simulation of a forecasted change in production of a client organization. The device can obtain scheduling information for a set of historical work orders and a set of existing work orders associated with the client organization. The device can generate a set of simulated work orders using a forecasting technique, information included in the request, and the scheduling information. The device can generate one or more simulated schedules for simulating performance of the set of simulated work orders. The device can determine that one or more capacity values associated with operational resources needed to carry out the set of simulated schedules satisfy one or more threshold capacity values. The device can generate one or more recommendations for improving processes associated with the client organization. The device can provide the one or more recommendations to the user device.

Abstract: A system and method for performing forecasting for an event. Information associated with an event is received from a user. Historical data associated with the event is automatically captured. Additional data for the event is captured from a digital resources. A forecast for the event is generated utilizing the information, the historical data, and the additional data.

Abstract: A method for a cloud-computing system to communicatively couple with a remote terminal unit (RTU) that monitors and/or controls one or more operations a well device associated with a hydrocarbon well may include receiving, via at least one processor, a request from an asset attempting to communicatively couple with the cloud-computing system. The method may then include determining whether the asset is known and receiving one or more attributes regarding the asset when the asset is not known. After receiving the attributes, the method may include determining whether a profile that corresponds to the one or more attributes exists and sending configuration data to the asset based on the profile when the profile exists.

Abstract: One embodiment provides a method comprising receiving historic peer deals relating to at least one service, and a baseline and cost percentage estimation for each service. Historic peer cost data for each service is clustered to form at least one cluster. Each cluster includes similar unit costs, and has an assigned label. A classification model is trained based on each baseline received, each cost percentage estimation received, and each assigned label. For each assigned label, a corresponding probability distribution is computed based on the classification model. For each service of a new client solution, an assigned label for the service is predicted based on the classification model, and, based on a probability distribution corresponding to the assigned label predicted, transforming an initial range of historic peer cost data relating to the service into a narrower range for use in estimating a cost of the service with improved accuracy.

Abstract: A system includes a memory and at least one processor to receive a registration request from a first client computing device and send a response to the registration request to the first client computing device, receive a registration request from a second client computing device and send a response to the registration request to the second client computing device, receive a calendar invitation to share calendars from the first client computing device and send information associated with the calendar invitation to the second client computing device, and receive an automated calendar comparison request comprising a list of users, a period of time, and a time frame, determine a list of open times based on the list of users, the period of time, and the time frame, and transmit the list of open times.

Abstract: Techniques for presenting a featured skill of a first member of a social network system are described. An example system presents the featured skill on a profile page of the first member. The system can receive a request to view the profile page from a device of a second member. Additionally, profile data of the first and second members can be accessed, the profile data including skills associated with the first member. An endorser value can be determined for the first member based on a reputation score, the endorser value being associated with the first member having a specific skill. Moreover, a quality score for each skill in the skills can be calculated using the endorser value and the profile data. Furthermore, the featured skill can be selected based on the quality score. Subsequently, a user interface can present the featured skill on the profile page of the first member.

Abstract: Provided is a prediction system for calculating a prediction value related to a prediction target to which prediction in an arbitrary period is adapted. The prediction system includes a storage device which records a plurality of data used to calculate the prediction value and a control device which includes a predetermined operation model and applies the plurality of data to the operation model to calculate the prediction value. The control device changes the operation model, on the basis of information of respective temporal attributes of the plurality of data.

Abstract: A method for utilizing an externally augmented propensity model for determining a future financial requirement. The method includes obtaining at least one propensity model that models how data associated with a business entity relates to a future financial requirement of the business entity, and gathering the data associated with the business entity. The data includes a first portion created based on a platform utilized by users associated with the business entity, and financial data of an owner of the business entity. The data matches at least a subset of the at least one propensity model. The business entity is scored by applying the at least one propensity model to the data. Further, based on the score, the future financial requirement of the business entity is classified. Still yet, a message is transmitted to the business entity based on the classification of the future financial requirement of the business entity.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: An aircraft motion assessment system and method includes associating a plurality of polling devices within an internal cabin of an aircraft with passenger seats onboard the aircraft, communicatively coupling a motion assessment control unit to the plurality of polling devices, and receiving, by the motion assessment control unit, passenger-input motion effects data from the plurality of polling devices.

Abstract: The MERCHANT-CONSUMER BRIDGING PLATFORM APPARATUSES, METHODS AND SYSTEMS (“MCB-Platform”) various activity requests (e.g., transaction request, merchant information update request, offer issuance request, etc.) via MCB-Platform components into transaction records and merchant database updates outputs.

Abstract: A system and method for forecasting the sales of a new item, i.e., one with no historical sales data, is presented. Two matrices are presented, a feature matrix and a sales matrix. The matrices are divided into training matrices and prediction matrices. The training matrices are decomposed, then regression analysis is performed to determine the weight of various columns of the training feature matrix. Thereafter, the weights could be used on the training prediction matrix to predict sales. The sales predictions can be used to order SKUs for a retailer or distributor. Other embodiments are also disclosed herein.

Abstract: This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating predicting brand personality. In one embodiment, target content for which brand personality prediction is desired is obtained. Content features associated with the target content are identified. Such content features and a brand personality prediction model are used to predict a brand personality of the target content, the brand personality indicating personality of a brand associated with the target content.

Abstract: The lottery administration entity typically maintains a retail network of terminals that can be used to purchase tickets as well as validate tickets. Each transaction at the retail locations, whether it is purchasing tickets or validating tickets, may be stored in a database or other data store. The data store may be used to search for ticket information, such as when or where a particular ticket was purchased. The stored data may processed in order to generate a risk profile of retailers.

Abstract: Systems and methods are directed to supply chain management. In particular, the tracking, tracing, authenticating, and reporting of supply chain events for products, is disclosed. Various embodiments can store, analyze, and track supply chain events and help to coordinate and maintain trading partner connections. Various embodiments also help to enhance patient safety, secure the supply chains for pharmaceuticals, medical devices, and other healthcare products, and help users to follow regulatory requirements.

Abstract: The dynamic complexity and the operational risk inherent in a system are defined and incorporated into a mathematical model of the system. The mathematical model is emulated to predict the states of instability that can occur within the operation of the system. Dynamic complexity of a service is demonstrated where there is an observed effect where the cause can be multiple and seemingly inter-related effects of a many-to-one or many-to-many relationship. Having assessed the dynamic complexity efficiency and the operational risk index of a service (e.g., a business, process or information technology), these indexes can be employed to emulate all attributes of a service, thereby determining how a service responds in multiple states of operation, the states where the dynamic complexity of a service can occur, optimal dynamic complexity efficiency of a service, and the singularities wherein a service becomes unstable.

Abstract: A lead capture, management, and demonstration scheduling system and process is disclosed. All information is captured electronically and presented in real time. Equipment check in/out is monitored electronically and displayed for all to see. Digital communication to and from OEM to rider-driver keeps everyone informed of status.

Abstract: This disclosure generally relates to a method and system for scheduling a ride for a third party by a ride requestor. In one embodiment, the method includes receiving a ride request for a third party rider from a user device. The method may further include identifying a set of drivers from a trusted drivers and identifying from the set of trusted drivers, an optimal driver. The method may further include transmitting a ride confirmation to the ride requestor, the optimal driver, and the third party rider.