Abstract: A method for productivity view management may include receiving, by a processor, a plurality of collaborative artifacts for a user and organizing the plurality of collaborative artifacts in a list based on a predetermined order. The method may also include analyzing, by the processor, the list of collaborative artifacts using a predetermined criterion and determining a view management fatigue factor threshold for the user. The method may further include automatically inserting, by the processor, a downtime artifact within the list of collaborative artifacts based on analyzing the list of collaborative artifacts to prevent the user from exceeding the view management fatigue factor threshold.

Abstract: A method comprises receiving a device identifier and location information from a receiving device, where the device identifier comprises a distinctive combination of at least one of numbers and characters uniquely identifying the receiving device and the location information is received from a plurality of beacons. The method comprises determining a current location associated with the receiving device based on the location information. The method comprises generating a first instruction configured to query a calendar event associated with the receiving device, transmitting the first instruction to a database, and receiving data associated with the calendar event. The method comprises, in response to the current location of the receiving device being associated with a location associated with the calendar event, generating a meeting report associated with the calendar event and transmitting the meeting report to the receiving device.

Abstract: Systems and methods are described herein for scheduling tasks based on predicted animal behavior. The systems and methods may receive schedule parameter data; generate set-times for performing tasks based on the schedule-parameter data; determine that one of the set-times conflicts with another one of the set-times; and generate a schedule comprising different set-times for performing the tasks. The systems and methods may run a first schedule for performing tasks based on the schedule-parameter data, which may comprise set-times; receive environmental sensor data; and run a second schedule for performing the tasks. The second schedule may comprise set-times, be based on the environmental sensor data, and be different from the first schedule. The systems and methods may generate set-times for performing tasks based on the schedule-parameter data and offsets from a solunar event, and generate a schedule with the set-times.

Abstract: A system and method for collecting data analytics on the one or more business events, receiving a prior set of knowledge about the one or more business events, generating, for presentation to the user, the timeline of the set of relevant information on the one or more business events based on processing the data analytics in combination with the prior set of knowledge, generating a current hypothesis for the one or more business events associated with the one or more business ontologies associated with the one or more business events, the current hypothesis modifying the prior set of knowledge over a period of time, receiving a natural language query from the user for interacting with the timeline of the set of relevant information and the current hypothesis, and generating, for presentation to the user, a response from the timeline of the set of relevant information and the current hypothesis.

Abstract: Various embodiments of systems and methods for optimizing vehicle utilization are described herein. The method includes determining demand, supply, and availability of vehicles. A graph with nodes (representing source and destination stations of orders) and arcs connecting nodes is generated based on validity conditions, e.g., there is network connectivity from source to destination node, etc. The arc is assigned for repositioning, waiting, and loaded move based upon input such as tolerable delay for orders, waiting cost at stations, repositioning cost, long stand cost, revenue generated from orders, order priority, etc. A network flow solver is successively executed to solve the graph to maximize profit, optimized utilization of vehicles, fulfill order on time, and balance demand and supply. Output tables including key performance indicators (KPIs) and information of fulfilled and unfulfilled orders are generated.

Abstract: Dispensing units or stations for dispensing items, such as in a healthcare facility, are linked in a network. The dispensing stations are arranged in groups. Inventory data for all the stations in a group is combined together, and displayed at a graphical view or widget. Multiple widgets may be displayed on a dashboard screen of a user system, for use in managing inventory.

Abstract: Reduction in latency between question submissions and response submissions in a question and answer based customer support system is reduced by facilitating the use of mobile devices by customer support personnel to submit question responses. The answerability of a question from a mobile device is predicted by analyzing the attributes of the question itself before the answer is generated. Questions being entered into the question and answer based customer support system that are conveniently answerable from a mobile device are routed to a mobile question and answer queue that enables mobile device users to review and respond to the mobile device answerable questions. A question is determined to be answerable from a mobile device if a predicted answer to the question has a length that is within a predetermined threshold, so that customer support personnel are not burdened with generating long responses from mobile devices.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: A system, computer program product, and method is described to provide a visualization tool which portrays the certain equivalent for one or more hypothetical (i.e. synthetic) or real probability distributions p(m), and optionally allows the user to manipulate that representation, resulting in associated changes to the underlying utility function u(m). In a first example, the risk preference visualization tool allows one to explore how the certain equivalent depends upon the probability distribution p(m), for a fixed utility function u(m). In a second example, the risk preference visualization tool allows one to explore how the certain equivalent depends upon the utility function u(m), assuming one or more fixed probability distributions p1(m), p2 (m), etc. In a third example, the decision maker can provide feedback through the visualization tool that would cause their utility function to be modified.

Abstract: A method for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks. A framework adaptor/connector is leveraged by the OMS to provide a web client for communicating with and integrating to the SaaS analytics runtime environment, encapsulating all necessary connection pooling, security, and data marshaling complexity away from the order management system to meet strict service response time windows.

Abstract: A system, method and computer program product for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics—to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.

Abstract: A program is executed on a processor to produce execution events. The execution events are traced using a first trace mode during a first portion of the program execution, wherein a portion of trace information for the execution events is omitted from a trace report while tracing in the first trace mode. The mode of tracing is dynamically changed to a second trace mode in response to an event trigger, such that all execution events that occur during the change of mode are captured. Execution events are traced during a second portion of the program execution using the second trace mode, wherein additional trace information for the execution events is included in the trace report while tracing in the second trace mode. The trace mode may be dynamically switched between the two trace modes during execution of the program.

Abstract: A system, method and computer program product for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks.

Abstract: Systems and methods for modeling and forecasting cyclical demand systems in the presence of dynamic control or dynamic incentives. A method for modeling a cyclical demand system comprises obtaining historical data on one or more demand measurements over a plurality of demand cycles, obtaining historical data on incentive signals over the plurality of demand cycles, constructing a model using the obtained historical data on the one or more demand measurements and the incentive signals, wherein constructing the model comprises specifying a state-space model, specifying variance parameters in the model, and estimating unknown variance parameters.

Abstract: A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, according to one embodiment. The method and system dynamically and automatically defines, evaluates, and updates analytics models to provide progressively improving personalization of user experiences in a software system.

Abstract: A solution for evaluating an enterprise is provided. The solution can include constructing an enterprise governance library from a set of enterprise governance documents. Each enterprise governance document can include natural language text defining at least a portion of the enterprise. The enterprise governance library can be constructed by parsing the natural language text to identify a set of references relating to the enterprise and creating structured data based on the set of references. Each reference can identify a key object relating to the enterprise, such as an organization of the enterprise, an agent of the enterprise, a product of the enterprise, or a product used by the enterprise. The structured data for each key object can include attributes of the key object, data associating the key object with the enterprise governance document, and data for enabling access to data corresponding to the reference.

Abstract: A method of determining an inventory mirroring plan for a set of distinct items in a fulfillment network. The fulfillment network can include a plurality of distribution centers. The method can include determining, for each distinct item of the set of distinct items and for each demand zone of a set of demand zones, a location-specific demand. The method also can include determining, for each of a number of clusters ranging from 1 to a predetermined maximum number of clusters, a k-cluster profile that partitions the plurality of distribution centers in the fulfillment network into k distribution center clusters. The method further can include determining, for each of the number of clusters and for each demand zone of the set of demand zones, a closest distribution center cluster of the k distribution center clusters that is nearest to the demand zone.

Abstract: A method and system for conducting an on-line survey involves communicating with a computer over a computer network and obtaining such information as whether a solicitation for the survey has previously been displayed on the computer, how long ago it was displayed, and whether a user at the computer ever attempted to take the survey. Based on this information, a decision is made as to whether to transmit a solicitation for the survey to the computer. The invention helps ensure that users are not subjected to the annoyance of repeatedly and frequently being asked to take a particular on-line survey.

Abstract: Embodiments of the invention relate to improving direct marketing response rate through use of media information. One embodiment includes extracting samples of language usage in one or more social media activities. Language usage features comprising relationships to products are derived by analyzing the extracted samples for relevant language terms. The language usage features are mapped to one or more of personality traits, emotional state and personal features. The mapped language usage features and personal features are stored in a repository. Customers are segmented for direct marketing using the mapped language usage features and the personal features.

Abstract: A method for reporting as-built data of a project is disclosed. In one embodiment, at least one attribute of a task perform by a handheld tool is recorded at the handheld tool. The attribute of the at least one task is reported via a wireless communication link to an information management system. The at least one attribute of the task is used to update a record of a project stored at the information management system.