An approach is provided for browser based robotic process automation. A computing device accepts, via a user interface, a selection of a query and one or more services. The computing device sends a request identifying a user account and the one or more services. The computing device receives, in response to the request, automation code for accessing the one or more services. The computing device retrieves credentials for accessing the one or more services by the user account. The computing device executes the automation code to cause the user account to be authenticated at the one or more services using the credentials and to cause a search of the query to be performed at the one or more services. The computing device outputs a result of the automation code, the result corresponding to one or more matches of the search of the query at the one or more services.

Embodiments of the invention are directed to a system, method, or computer program product for an integrated entity resource distribution device set-up and deliver platform for distribution of devices to an entity for resource acceptance. An entity must be activated and on-boarded to accept resource acceptance and processing. The invention creates a platform for identification of entity needs with respect to resource acceptance devices. With this information the platform generates configured resource acceptance devices for the entity with correct components and sub-components. Furthermore, the system integrate software and firmware in an appropriate sequence onto resource acceptance devices components and sub-components. The platform then ties the software with the entity and the resource acceptance device identifiers to allow for resource distribution processing for the entity to intelligently provide correct loading and correlating of subcomponents onto a device without entity setup and integration with other merchant devices.

A system for a bot factory environment is disclosed. The system may receive a graphical process model. The system may compile a bot based on the graphical process model. The system may validate the bot to generate a validated bot. The system may register the validated bot to a registry table. The system may deploy the validated bot to a runtime environment.

A system for a bot factory environment is disclosed. The system may receive a graphical process model. The system may compile a bot based on the graphical process model. The system may validate the bot to generate a validated bot. The system may register the validated bot to a registry table. The system may deploy the validated bot to a runtime environment.

In an approach to improve implementing program code modifications within a predetermined system embodiments simulate an impact of an implemented modification to a software code against one or more predetermined constraints using a target environment. Further, embodiments comparing a first executed simulation against a second executed simulation of the software code, wherein the second executed simulation comprises the implemented modifications and a current version of the software code. Additionally, embodiments, generate guidance for a user based on the comparison of the first and second executed simulations, wherein the generated guidance comprises positive and negative impacts of the implemented software code modifications regarding compliance with the one or more predetermined constraints, and output, by a user interface, the generated guidance to the user detailing the impact of the implemented modification.

Systems and methods for enabling communications via tablature for an application are disclosed. A system may include at least one processor configured to generate a table containing cells for holding values and enable association of a communications rule with a specific cell of the table, wherein the communications rule includes a trigger that automatically activates when a specific value in the specific cell meets a criterion. The processor may trigger the communications rule when the specific value in the specific cell meets the criterion, and communicate, upon triggering of the communications rule, a message relating to the specific value in the specific cell meeting the criterion.

A system generates a customized application data structure for modeling physical systems. The system includes a processor, an input device, optionally a display device, and a memory device. The processor is adapted to embed a multiphysics model data structure in the application data structure. The multiphysics model data structure comprises a representation of models of physical systems. Geometry data representing geometry subroutines and call data representing geometry subroutine calls are added to the embedded multiphysics model data structure. Data representing application features are added to the application data structure. Each application feature comprises one or more of (i) first data representing a form feature, or (ii) second data representing an action feature. A customized application data structure is generated providing a customized modeling of the physical systems using a modeling operation, a geometry of the one or more models of physical systems, an application feature, and a geometry subroutine. The customized application data structure is configured for distribution to end users as an application executed by an application runtime engine.

A system generates a customized application data structure for modeling physical systems. The system includes a processor, an input device, optionally a display device, and a memory device. The processor is adapted to embed a multiphysics model data structure in the application data structure. The multiphysics model data structure comprises a representation of models of physical systems. Geometry data representing geometry subroutines and call data representing geometry subroutine calls are added to the embedded multiphysics model data structure. Data representing application features are added to the application data structure. Each application feature comprises one or more of (i) first data representing a form feature, or (ii) second data representing an action feature. A customized application data structure is generated providing a customized modeling of the physical systems using a modeling operation, a geometry of the one or more models of physical systems, an application feature, and a geometry subroutine. The customized application data structure is configured for distribution to end users as an application executed by an application runtime engine.

A system generates a customized application data structure for modeling physical systems. The system includes a processor, an input device, optionally a display device, and a memory device. The processor is adapted to embed a multiphysics model data structure in the application data structure. The multiphysics model data structure comprises a representation of models of physical systems. Geometry data representing geometry subroutines and call data representing geometry subroutine calls are added to the embedded multiphysics model data structure. Data representing application features are added to the application data structure. Each application feature comprises one or more of (i) first data representing a form feature, or (ii) second data representing an action feature. A customized application data structure is generated providing a customized modeling of the physical systems using a modeling operation, a geometry of the one or more models of physical systems, an application feature, and a geometry subroutine. The customized application data structure is configured for distribution to end users as an application executed by an application runtime engine.

A system generates a customized application data structure for modeling physical systems. The system includes a processor, an input device, optionally a display device, and a memory device. The processor is adapted to embed a multiphysics model data structure in the application data structure. The multiphysics model data structure comprises a representation of models of physical systems. Geometry data representing geometry subroutines and call data representing geometry subroutine calls are added to the embedded multiphysics model data structure. Data representing application features are added to the application data structure. Each application feature comprises one or more of (i) first data representing a form feature, or (ii) second data representing an action feature. A customized application data structure is generated providing a customized modeling of the physical systems using a modeling operation, a geometry of the one or more models of physical systems, an application feature, and a geometry subroutine. The customized application data structure is configured for distribution to end users as an application executed by an application runtime engine.