Abstract: A behavior pattern search system and method is disclosed. A change in a behavior pattern contributing to improving a Key Performance Indicator (KPI) is discovered from among changes in the behavior pattern arising in common among customers having a specific characteristic. The behavior pattern search system classifies transfiguration candidates that are customers satisfying transfiguration result information. The transfiguration result information indicates a characteristic purchase behavior predicted to occur by a change in a behavior pattern of each of the customers.

Abstract: Some examples include a processor that accesses past order information for a plurality of past orders received in the past for a plurality of merchants and delivered by delivery agents. Further, for an upcoming time period, based on the past orders received by individual merchants over a past period of time, the processor may determine a predicted number of orders to be received for an upcoming time period for the individual merchants. The processor may execute delivery agent management logic to compare, for the upcoming time period, a number of active delivery agents with the predicted number of orders, and may send a message to a first delivery agent device associated with a first delivery agent to cause one of: activation of the first delivery agent from inactive status to active status, or deactivation of the first delivery agent from active status to inactive status.

Abstract: Certain aspects of the present disclosure provide techniques for providing detailed customer-level lifetime value data via a user interface. Embodiments include receiving customer data related to a customer. Embodiments include using a plurality of predictive models to predict, based on the customer data, values for a plurality of sub-components of a lifetime value of the customer, wherein each predictive model of the plurality of predictive models corresponds to a sub-component of the sub-components. Embodiments include determining customer-level lifetime value data for the customer by aggregating the values for the plurality of sub-components. Embodiments include providing the customer-level lifetime value data for the customer, including a subset of the values for the sub-components, to an application for display to a user via the user interface.

Abstract: Systems and methods are disclosed for generating consumer analytics for products placed in online shopping carts. A profiler computing system generates a unique tacking profile for associating purchase events by a purchaser. Payment vehicle data and a tracking element are associated with the identified purchaser profile. The purchaser profile may be generated based on purchase information associated with an initial purchase event by the purchaser. The profiler computing system determines whether products abandoned in online shopping carts are purchased at brick-and-mortar affiliates or other merchant forums. Other embodiments are described and claimed.

Abstract: A part chain management system and method for generating chain sequences for parts in the aftermarket services industry is disclosed. Data on various parts and their substitutes is obtained from an engineering data management (EDM) team and translated into pair wise substitutional relationships represented in a known part substitutional relationship network. The system and method derive a part chain representation from known part substitutional relationships and inferences determined therefrom. The system and method can refine or filter the part chain representation based on rules such as business relationships. The system and method analyzes inferred part substitutional relationships for conflicts, which are either resolved automatically using conflict resolution rules or are referred for manual resolution. Following conflict resolution, the inferred links are finalized and used along with known links to generate a final part substitutional relationship network.

Abstract: Computer systems are used to facilitate the sale of mortgages into the secondary market. For example, the computer systems are used to facilitate the administration of loan delivery and other business rules across multiple customer-facing applications. The computer systems provide a shared service for customer-facing applications to integrate with a centralized business rules engine. The computer systems enable the integrated applications to request specific groups or categories of business rules to be executed by the centralized business rules engine. The computer systems request execution of stored business rules based on a loan, format the results, and provide feedback to the calling applications based on the results.

Abstract: An identity of a customer within an establishment is authenticated using a variety of captured biometric features obtained from sensors and/or video. Video capturing movements/interactions of the customer is analyzed in real time to identify the customer's behavior and actions. Any staff of the establishment who interact with the customer are identified from the video. Transaction data and other data retained for the customer by the establishment are aggregated and linked with the video and the customer identity. The linked data is analyzed in combination with the customer behavior and actions to determine responses within the establishment to customer-initiated transactions. In an embodiment, the customer is authorized to perform at least one transaction within the establishment based on the authenticated identity and linked data without a presentation by the customer of an identification card, a Personal Identification Number (PIN), a password and/or verification by a staff member.

Abstract: Systems and methods are disclosed for generating consumer analytics for products placed in online shopping carts. A profiler computing system generates a unique tacking profile for associating purchase events by a purchaser. Payment vehicle data and a tracking element are associated with the identified purchaser profile. The purchaser profile may be generated based on purchase information associated with an initial purchase event by the purchaser. The profiler computing system determines whether products abandoned in online shopping carts are purchased at brick-and-mortar affiliates or other merchant forums. Other embodiments are described and claimed.

Abstract: Technological advancements are disclosed that increase automation and efficiency in the operations of the computer networks, graphical user interfaces and databases for cosmetics retail displays to be responsive to retail store and customer requirements and increase performance of such systems. The system integrates information from various, often disparate and remotely located systems and databases, involved in the designing, manufacturing, producing, allocating and/or delivering components of cosmetics products retail displays to a diverse set of retail store locations. Customizations of cosmetics retail displays at various retail store locations are automated and facilitated based on cosmetics products retail sales performance at the various retail store locations. Users of such a system are provided information to more efficiently provide cosmetics retail displays and components, and supply updates to such displays according to current market data, sales, inventory and brand or manufacturer requirements.

Abstract: Technological advancements are disclosed that increase automation and efficiency in the operations of the computer networks, graphical user interfaces and databases for cosmetics retail displays to be responsive to retail store and customer requirements and increase performance of such systems. The system integrates information from various, often disparate and remotely located systems and databases, involved in the designing, manufacturing, producing, allocating and/or delivering components of cosmetics products retail displays to a diverse set of retail store locations. Customizations of cosmetics retail displays at various retail store locations are automated and facilitated based on cosmetics products retail sales performance at the various retail store locations.

Abstract: An approach is provided in which an information handling system receives a request for a product from a first entity that includes multiple components. The information handling system determines that the components include a set of printable 3D components and a set of non-printable 3D components. Next, the information handling system sends a set of component instructions to a second entity to print the set of printable 3D components and, in turn, sends a set of assembly instructions to the second entity to assemble the product using the set of 3D printable components and the set of non-printable 3D components.

Abstract: Individuals are monitored for actions and behaviors of the individuals during performance of establishment processes through video feeds captured by cameras. Transaction information associated with transactions being processed by a transaction system of the establishment are monitored. The actions, behaviors, transaction information, and establishment processes are correlated to process controls of the establishment and logged in an audit log. Non-compliant actions, behaviors, or transaction information with respect to the process controls generate real-time alerts, real-time assistance for compliance by any offending individual, and/or remedial training for compliance of the offending individual.

Abstract: Systems and methods of the present disclosure facilitate scheduling and managing a project. In some embodiments, the system includes a quoting module, a product data module, and a project planning module executing on at least one processor of a server. The product data module may be configured to store at least one product. The product stored in the project module may have a product class indicating that the product is a labor product, parts product, or agreements product. The system may be configured to copy products from the product data module to the quoting module. The system may be configured to also copy products from the product data module to the project planning module, and generate tasks for the project planning module based on the products.

Abstract: Described herein is a computer-implemented method. The method comprises receiving an operation notification in respect of a gated operation from a change requesting system, determining an issue type associated with the gated operation, and creating an issue of the determined issue type. The method further comprises determining that the issue has transitioned state from a pending workflow state to a particular operation resolution workflow state and, in response, generating an operation resolution message which is communicated to the change requesting system.

Abstract: The present disclosure relates to a computer implemented method for generating a security route to be operated by a user, specifically created based on security tasks generated by a security system. The present disclosure also relates to a corresponding security system and a computer program product.

Abstract: Systems and methods for auditing business controls are disclosed. The system may receive or retrieve data from one or more data sources corresponding to a business control. The system may perform a direct analytic control test (ACT) or an indirect ACT on the data. The system may compare a direct ACT result or an indirect ACT result to an ACT threshold. The ACT threshold may comprise separate direct ACT thresholds and indirect ACT thresholds. Based on the comparison, the system may determine an operating effectiveness of the business control.

Abstract: According to some embodiments, systems and methods are provided, comprising providing, via a request module, a user interface, wherein the user interface displays at least one request and a status for each request; receiving selection of one of the displayed requests at a unification layer, via the user interface, wherein the unification layer is provided by the request module; accessing, by the request module, at least one of a first application and a second application based on the received selection; and generating a visualization displayed on the user interface, wherein the visualization includes the at least one request and status for each request, the selected at least one request and a request indicator. Numerous other aspects are provided.

Abstract: Metric forecasting techniques in a digital medium environment are described. A time series interval is identified by an analytics system that is exhibited by input usage data. The input usage data describes values of a metric involved in the provision of the digital content by a service provider system. A determination is then made by the analytics system as to whether historical usage data includes the identified time series interval. A forecast model is then selected by the analytics system from a plurality of forecast models based on a result of the determination and the identified time series interval. Forecast data is then generated by a forecast module of the analytics system. The forecast data is configured to predict at least one value of the metric based on the selected forecast model, a result of the determination, and the input usage data.

Abstract: Zones are defined within an enterprise. Video captured from the zones are monitored for threats (financial or physical). Any transaction data associated with transactions are monitored with the video along with sensor data captured from sensors within the zones. Threat policies are evaluated to identify actions and behaviors of individuals within the zones and threat scores are maintained. When a current threat score associated with a specific type of threat for a given individual or set of individuals exceeds a threshold, one or more automated remediation or threat avoidance actions are processed to mitigate and/or prevent the perceived threat.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains answers by a candidate to assessments related to qualifications for one or more opportunities. Next, the system applies a machine learning model to the answers and additional qualifications for an additional opportunity to produce a match score between the candidate and the additional opportunity. The system then compares the match score to a threshold to determine a recommendation related to applying to the additional opportunity by the candidate. Finally, the system outputs the recommendation in association with the additional opportunity.