A graphical workflow definition and management tool enables administrators and other authorized users to implement a workflow process that can be used to evaluate project submissions or other applications that require step-by-step process completion. The steps required to navigate through the workflow are first defined. Inputs, outputs, and actions, including conditional criteria, can be specified for the steps. The flow of control between the individual steps in the workflow is mapped out; changes to the status of a project submission can cause a submission to migrate to a succeeding step in the workflow. A “sandbox” testing environment allows changes to any aspect of the workflow to be safely evaluated without affecting live data. Conflicts between production and test workflows are identified and intelligently resolved.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

A computing platform may be installed with software technology for creating and executing user-customized workflows that configures the computing platform to: (1) cause a client station to present an interface for building a workflow, (2) receive data defining a given workflow that comprises (i) a user-defined set of information and (ii) a user-defined rule comprising (a) at least one condition and (b) at least one action that is to be carried out when the at least one condition is satisfied, (2) store the given workflow, (3) begin to execute the given workflow by iteratively: (i) obtaining a given snapshot of the user-defined set of information and (ii) applying the user-defined rule to the given snapshot to determine if the at least one condition is satisfied, and (4) when the at least one condition is satisfied, cause the at least one action to be carried out.

An embodiment of the present invention is directed to enabling real-time data processing to analytical applications that use a real-time cache to drive business decisions. An embodiment of the present invention is directed to limiting data transformation (e.g., transforming data only once) and making it available for multiple consumers and stores. For example, an embodiment of the present invention is directed to an elastic extract transform load (ETL) extension to a strategic data transformation pipeline to support uniform content distribution to various stores as well as reactive processing. Data transformations may be treated as ETL, ensuring operational and analytical stores see and act on the same data.

A software system comprising of many-to-many input data sources, data, storage and processing medium, executable software instructions that, when executed by the application, enable the software to receive, standardize heterogenous data, and perform business translation logic. This data translation and standardization process generates a standard object hierarchy, organizing outcome in common translatable objects corresponding to active graphical user interface elements. The application enables interface of heterogenous datasets with a hierarchical representation of the data as active GUI elements, creating an interfacing object for each of the active GUI elements represented in the hierarchical representation; and organizing the objects into the standard hierarchy based on relationships among active GUI elements. In final step, the software executes the updating of data and transmission, using software program to transform, update, standardize, and re-transmit to receiving systems on a schedule-based approach, in rapid, recurring and automated scheduled format between business entities.

A method of ranking criticality of upcoming customer meetings may comprise receiving, via a network interface device, for a plurality of customers, a meeting deadline date, a meeting frequency value, and a previous sales factor rate indicating revenue or a percentage of previous meetings that resulted in revenue to a user, determining, via a processor, for the plurality of customers, a past due percentage value by dividing the number of days elapsed since the meeting deadline date by a number of days within the meeting frequency value, and determining, for each of the plurality of customers, a criticality ranking by weighting the past due percentage value with the previous sales factor rate. Displaying, via a graphical user interface (GUI), the plurality of customers, listed in order of the criticality ranking, from highest to lowest, for scheduling of upcoming meetings in order of criticality.

A robotic fleet management platform includes a resources data store maintaining a fleet resource inventory indicating fleet resources that can be assigned to a robotic fleet. For each respective fleet resource, the fleet resource inventory indicates maintenance status data, a predicted maintenance need, and/or a preventive maintenance schedule. A maintenance management library of fleet resource maintenance requirements facilitates determining maintenance workflows, service actions, and/or service parts for fleet resources. The platform calculates the predicted maintenance need of a fleet resource based anticipated component wear. The anticipated wear/failure is derived from machine learning-based analysis of the maintenance status data. The platform monitors a health state of the fleet resource from sensor data. The platform adapts the preventive maintenance schedule. The platform initiates a service action of the at least one item of maintenance for the fleet resource based on the fleet resource maintenance requirements and/or the new preventive maintenance schedule.

Systems and methods capable of providing customized business processes, such as with regard to intermediate business transaction documents, within a standard business process flow system. The systems and methods may include a process interface for receiving the standard business process flow; a developmental graphical user interface capable of developing a plurality of object-oriented custom modules indicative of a plurality of custom business steps; a plurality of data libraries capable of storing at least configurations and rules applicable to the plurality of object-oriented custom modules; a run time graphical user interface capable of selecting multiple ones of the plurality of object-oriented custom modules for inclusion in a custom process stack; and a trigger sensor capable of receiving a trigger indicated by one of the configurations at the process interface, and capable of diverting the standard business process flow to process the custom process stack related to the trigger according to the configurations and rules upon receipt of the trigger.

The present disclosure relates techniques for coordinating and synchronizing client-facing support services with the activities and responses from one or more technical teams assigned to address a client issue. In certain implementations, this may allow an agent or customer approach to use a single reference identifier (such as a case or matter number) to access information or updates from technical teams that do not typically employ such a number for their own tracking purposes. In this manner, relevant information to a client issue may be accessed from all involved technical teams at the agent level as well as allowing the technical teams themselves to readily see activity by other teams.

Provided are a system, method, and computer program product for optimizing a manufacturing process. The method includes receiving manufacturing data associated with a manufacturing process for manufacturing a product. The manufacturing data may include data from a plurality of data sources associated with a plurality of stages of the manufacturing process, and the manufacturing data may include values for a plurality of parameters including at least one process parameter value and at least one quality parameter value. The method includes generating a time-sequenced data structure including the manufacturing data and transforming the time-sequenced data structure to a positionally-dimensioned data structure based on timing data associated with the plurality of stages. The method includes determining a new value for the at least one process parameter value based on the positionally-dimensioned data structure and at least one algorithm and optimizing the manufacturing process based on the new value.