A system and method are provided for managing multiple transactional workflows. The method includes saving each transactional workflow with a unique identifier, mapping the unique identifier to an entity associated with the client device used to initiate the corresponding transactional workflow, providing a first option for the client device to retrieve from the server device details of the plurality of transactional workflows, and receiving a request at a later time to retrieve details of the plurality of transactional workflows. The method also includes performing an authentication process, using the predetermined identifying information to determine unique identifiers of the corresponding saved transactional workflows, providing a second option for the client device to resume one or more of the transactional workflows, and resuming the corresponding one or more transactional workflows. Each transactional workflow is saved in a format that permits the server device to execute and complete a binding outcome.

A computer-based method is provided for managing a transaction including provision of a process intelligence engine comprising a workflow aligner and process tool box, receiving deal parameters at the process intelligence engine, defining transaction subjects, each requiring the participation of at least one network partner, where each transaction subject is a requirement for achieving the objective of the transaction, defining, for each transaction subject, a plurality of subject goals to be addressed by a network partner, and defining, for each subject goal at least one action item required for satisfying the subject goal. The subject goals are then sequenced by the workflow aligner by defining prerequisites for at least one subject goal and transaction modules are defined based on the sequencing. During execution of a deal using the method, subject goals are not made available until prerequisite subject goals have been completed.

A computer-based method is provided for managing a transaction including provision of a process intelligence engine comprising a workflow aligner and process tool box, receiving deal parameters at the process intelligence engine, defining transaction subjects, each requiring the participation of at least one network partner, where each transaction subject is a requirement for achieving the objective of the transaction, defining, for each transaction subject, a plurality of subject goals to be addressed by a network partner, and defining, for each subject goal at least one action item required for satisfying the subject goal. The subject goals are then sequenced by the workflow aligner by defining prerequisites for at least one subject goal and transaction modules are defined based on the sequencing. During execution of a deal using the method, subject goals are not made available until prerequisite subject goals have been completed.

An example method includes obtaining data associated with a plurality of process workflows, performing an automated workflow analysis of the data at least by (i) evaluating workflow structures to identify at least one similarity between one or more portions of the process workflows, wherein the workflow structures are modeled from the process workflow data and, (ii) responsive to evaluating the workflow structures, clustering, based on the at least one similarity, the portions of the process workflows into at least one common process group that is shared between the process workflows, identifying, based on the at least one common process group shared between the process workflows, at least one process improvement that is associated with at least one of the process workflows, and outputting, by the computing system, a recommendation associated with the at least one process improvement.

An example method includes obtaining data associated with a plurality of process workflows, performing an automated workflow analysis of the data at least by (i) evaluating workflow structures to identify at least one similarity between one or more portions of the process workflows, wherein the workflow structures are modeled from the process workflow data and, (ii) responsive to evaluating the workflow structures, clustering, based on the at least one similarity, the portions of the process workflows into at least one common process group that is shared between the process workflows, identifying, based on the at least one common process group shared between the process workflows, at least one process improvement that is associated with at least one of the process workflows, and outputting, by the computing system, a recommendation associated with the at least one process improvement.

Methods, apparatuses, and systems for scheduling tasks to field professionals include: storing, in a database, a plurality of records reflecting characteristics associated with completing a set of technical services, wherein information in each record is derived from historical experience of completing each of the technical services; receiving a request for a new technical service associated with a location; and assigning a field professional to perform the new service having determined from information in the database a likelihood that the field professional will complete the new technical service in a single on-site visit at the location.

Methods, apparatuses, and systems for scheduling tasks to field professionals include: storing, in a database, a plurality of records reflecting characteristics associated with completing a set of technical services, wherein information in each record is derived from historical experience of completing each of the technical services; receiving a request for a new technical service associated with a location; and assigning a field professional to perform the new service having determined from information in the database a likelihood that the field professional will complete the new technical service in a single on-site visit at the location.

A method and apparatus for controlling a supply chain including a production system. Sensor data is received from a sensor in the production system or elsewhere in the supply chain. The sensor data identifies an event in the production system or elsewhere in the supply chain. Event information for the event is stored in an events blockchain. The event information from the events blockchain is used in a process model simulation of the production system or the supply chain to identify an undesirable condition in the production system or elsewhere in the supply chain. System theoretic process analysis is used to identify a change in the production system or elsewhere in the supply chain to prevent occurrence of the undesirable condition.

A method and apparatus for controlling a supply chain including a production system. Sensor data is received from a sensor in the production system or elsewhere in the supply chain. The sensor data identifies an event in the production system or elsewhere in the supply chain. Event information for the event is stored in an events blockchain. The event information from the events blockchain is used in a process model simulation of the production system or the supply chain to identify an undesirable condition in the production system or elsewhere in the supply chain. System theoretic process analysis is used to identify a change in the production system or elsewhere in the supply chain to prevent occurrence of the undesirable condition.

In a method for determining appropriate runtime environments for execution of a process model, a computer receives a process model. The process model includes a plurality of activities, wherein two activities are linked by a relationship. The computer determines that the two activities linked by a relationship match a process pattern. The computer determines one or more runtime environments for execution of the process model, wherein each of the one or more runtime environments is capable of executing the process pattern.