Abstract: An application and system are capable of taking file formatted data and using that data as an onboarding process to go live with a system to system business document exchange process. Using certain applications and systems, suppliers can automatically validate their data files using a certification tool and can request production of their various products. Certain systems can be operated without human intervention and can accommodate users in a variety of time zones. Certain systems may accommodate parallel validation by a human technician.

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 system and method are disclosed for an inventory planner that generates an inventory policy using any form of demand distributions, non-linear cost functions and/or multiple target measures of service levels, while taking into account a supply order lead time, such as, for example, a static or stochastic supply order lead time. The inventory policy generated by the inventory planner comprises an optimal and reproducible solution to one or more supply chain planning problems.

Abstract: A computer-implemented system and method for obtaining product related information. Information related to a product obtained from a plurality of different sources is transformed into processed product data with a plurality of levels. Callouts and contexts are identified in the processed product data. A product-to-chemical continuum is generated by creating callout-context pathway segments between the plurality of levels of the processed product data based on the callouts and contexts identified. A query request for product information is transformed into a set of context search parameters, which is used to traverse the product-to-chemical continuum through the callout-context pathway segments that span the plurality of levels. The product information that matches the set of context search parameters is extracted from the product-to-chemical continuum. The callout-context pathway segments reduce processing resources and time needed to obtain the product information.

Abstract: A method 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: The present disclosure comprises a method for determining quality level of performance data associated with an enterprise comprising one or more domain entities. The method comprises analyzing, by a data quality assessment system, performance data, received from one or more data sources of the enterprise, using one or more quality evaluation parameters associated with the performance data. Thereafter, the data quality assessment system generates one or more events based on the analysis of the performance data. The one or more events are classified by the data quality assessment system, based on predefined event processing guidelines. Further, the data quality assessment system determines a quality index value for each of the one or more domain entities based on the one or more classified events, using the predefined event processing guidelines. Thereafter, the data quality assessment system determines the quality level of the performance data associated with the enterprise.

Abstract: In one implementation, a workflow system can include a storage engine and a merger engine. The storage engine maintains a restricted workflow part on a first storage resource and maintains a customizable workflow part on a second storage resource. The merger engine retrieves the restricted workflow part based on the product version and merge the restricted workflow part with the customizable workflow part associated with the restricted workflow part.

Abstract: Disclosed is an improved method, system, and computer program product for performing trend analysis of themes from social media data. Semantic analysis is performed on content that appear on social media sites. The results of the semantic analysis can be used to identify themes within the social media data over a period of time. Trend analysis is performed over the identified themes. An enterprise or business can more effectively market to the consumers based upon this knowledge of the consumers' interests.

Abstract: Approaches are provided for collecting and distributing topical data. An approach includes collecting topical data from one or more mobile applications on a mobile device. The topical data describes areas of interest of a user based on a way in which the one or more mobile applications are used by the user. The approach further includes normalizing the collected topical data into a list of topics of interest for the user. The approach further includes tagging each topic of interest with a non-hierarchical keyword or term. The approach further includes sending the list of tagged topics of interest to one or more remote servers.

Abstract: A market out of multiple available geographic markets can be inferred for each application in a first subset of computer applications. The inferring can include inferring each market from text in one or more metadata fields in application metadata from an online computerized store for the applications. Computer-readable market clusters can be generated, with each of the market clusters indicating a corresponding one of the markets, and with the clusters indicating an inferred market cluster of the computer-readable market clusters for each of the applications in the first subset. In response to a received application query, generating search results can include favoring inclusion of the one or more applications that are assigned to the identified market cluster relative to one or more applications that are not assigned to the identified market cluster.

Abstract: Embodiments of the present disclosure help content providers maximize the profitability of the online content they produce by providing an accurate, inexpensive, and timely quantitative estimate of the revenue the content is likely to generate. Various embodiments can refine estimates based on real-time or near-real-time data in conjunction with historical pricing data, thereby further improving the accuracy of the revenue predictions. A computer-implemented method according to one embodiment of the present disclosure comprises receiving, by a computer system, information regarding a topic; identifying, by the computer system, a format for content associated with the topic; and determining a score indicative of predicted revenue generated from future content in the identified format associated with the topic, wherein determining the score is based on a revenue model under which revenue from the future content would be generated.

Abstract: A computer implemented method for mining supply chain information to produce supply chain graphs includes receiving by a computer a set of data; identifying a supplier, a commodity, and a customer from the set of data; generating a query comprising the identified data; determining the absence of any of the supplier, the commodity, or the customer from the set of data; if any items are determined to be absent from the set of data, substituting a placeholder for the missing item from the data set; sending the query; receiving a set of supply chain graph information; generating a supply chain graph signal based upon the set of supply chain graph information; and transmitting the supply chain graph signal. A computing device or system includes a processor an electronic memory; and a program for mining supply chain information to produce supply chain graphs stored in the electronic memory.

Abstract: A presentation management server analyzes vote information, selects an exhibit to be recommended for presentation based on analysis of the vote information, determines a recommended presentation time for having a presentation on the selected exhibit based on the presentation schedule information, and generates a presentation recommendation screen including a recommendation to have a presentation on the selected exhibit at the recommended presentation time for output through an exhibitor terminal operated by an exhibitor of the selected exhibit.

Abstract: A computer system receives customer records listing customer attributes and an adoption status of the customer, such as whether the customer has enrolled in a particular energy efficiency program. An initial set of patterns are identified among the customer records, such as according to a decision tree. The initial set is pruned to obtain a set of patterns that meet minimum support and effectiveness and maximum overlap requirements. The patterns are assigned to segments according to an optimization algorithm that seeks to maximize the minimum effectiveness of each segment, where the effectiveness indicates a number of customers matching the pattern of each segment that have positive adoption status. The optimization algorithm may be a bisection algorithm that evaluates a linear-fractional integer program (LFIP-F) to iteratively approach an optimal distribution of patterns.

Abstract: In some examples, a customer churn risk engine is configured to query at least one of co-location data indicating co-location facility usage by a particular co-location facility customer and telemetry data indicating interconnections established between the particular co-location facility customer and at least one additional co-location facility customer within at least one co-location facility operated by a co-location facility provider. The customer churn risk engine is further configured to generate, based at least in part on at least one of the co-location data and the telemetry data, a churn risk score for the particular co-location facility customer. The customer churn risk engine is configured to output the churn risk score for the particular co-location facility customer.

Abstract: Techniques for statistically estimating a rating or other “figure of merit” for a user are disclosed. According to one such technique, a first quantity of submissions that were submitted by a user is determined. A second quantity of submissions that (a) were submitted by the user and (b) obtained a particular rating from a rating mechanism also is determined. A user rating for the user is determined based at least in part on the first quantity, the second quantity, and a factor that is independent of both the first quantity and the second quantity—such as the probability that an answer submitted by any answerer in a population will obtain the particular rating from the rating mechanism. The influence that the second quantity has on the user rating relative to the influence that the factor has on the user rating may depend at least in part on the first quantity.

Abstract: A personal communication system generates a request for initial schedule information corresponding to an initial workforce schedule generated by an enterprise analysis system. The personal communication system transmits the request for initial schedule information to the enterprise analysis system and receives a response including the initial schedule information. The personal communication system then generates a view of the initial workforce schedule based on the initial schedule information and displays the view of the initial workforce schedule in a primary application running on the personal communication system. The personal communication system then monitors for schedule factors relevant to the initial workforce schedule and transmits the schedule factors for use by the enterprise analysis system in generating an updated workforce schedule.

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 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.