Graphical element search technique selection, fuzzy logic selection for anchors and targets, and hierarchical graphical element identification for robotic process automation (RPA) are disclosed. The fuzzy logic selection of anchors and targets may be part of a larger, tiered, or hierarchical process for identifying graphical elements in the UI. When a selector for a UI element is not found with at least a confidence threshold, similar elements potentially corresponding to the selector for a UI element target may be searched based on fuzzy matching of the target and corresponding anchor(s). Geometric matching may also be employed between the target UI element and its respective anchor(s). The combination of fuzzy matching and geometric matching may allow for more flexible and accurate identification of the exact selector with which an RPA robot is attempting to interact.

Graphical element search technique selection, fuzzy logic selection for anchors and targets, and hierarchical graphical element identification for robotic process automation (RPA) are disclosed. The fuzzy logic selection of anchors and targets may be part of a larger, tiered, or hierarchical process for identifying graphical elements in the UI. When a selector for a UI element is not found with at least a confidence threshold, similar elements potentially corresponding to the selector for a UI element target may be searched based on fuzzy matching of the target and corresponding anchor(s). Geometric matching may also be employed between the target UI element and its respective anchor(s). The combination of fuzzy matching and geometric matching may allow for more flexible and accurate identification of the exact selector with which an RPA robot is attempting to interact.

A system described herein may provide for decoupling user interfaces from backend input processing systems by receiving user input, identifying a journey state based on the received user input, identifying a set of templates based on the identified journey state, selecting a particular template from the set of templates based on a channel via which the user input was received (and/or one or more other factors), populating the template based on information associated with a User Equipment (“UE”) or user from which the input was received, and providing a journey page (e.g., based on the populated template) in response to the received user input.

Cloud Foundry platform system comprising at least: a Cloud controller, a Service Broker, a Service Backend constituted by several Service instances, each linked to at least one Application, in a Droplet Execution Agent pool (DEA pool), a Graphic User Interface (GUI) and a platform diagnostic coupled with probes providing information on the recourses status of the system wherein the hardware and software arrangement forming the Graphic User Interface comprising a set of personalized activated interface cellules which can be manipulated by the user, and each can generate after their activation a piece of specific instruction, each specific instructions will be combined by the Graphic User Interface and transited to the Cloud controller using a routine and according to the resources available determined by the platform diagnostic, in a command, which replace the regular command entered by the user in a Command Line Interface.

Cloud Foundry platform system comprising at least: a Cloud controller, a Service Broker, a Service Backend constituted by several Service instances, each linked to at least one Application, in a Droplet Execution Agent pool (DEA pool), a Graphic User Interface (GUI) and a platform diagnostic coupled with probes providing information on the recourses status of the system wherein the hardware and software arrangement forming the Graphic User Interface comprising a set of personalized activated interface cellules which can be manipulated by the user, and each can generate after their activation a piece of specific instruction, each specific instructions will be combined by the Graphic User Interface and transited to the Cloud controller using a routine and according to the resources available determined by the platform diagnostic, in a command, which replace the regular command entered by the user in a Command Line Interface.

Graphical element search technique selection, fuzzy logic selection for anchors and targets, and hierarchical graphical element identification for robotic process automation (RPA) are disclosed. The fuzzy logic selection of anchors and targets may be part of a larger, tiered, or hierarchical process for identifying graphical elements in the UI. When a selector for a UI element is not found with at least a confidence threshold, similar elements potentially corresponding to the selector for a UI element target may be searched based on fuzzy matching of the target and corresponding anchor(s). Geometric matching may also be employed between the target UI element and its respective anchor(s). The combination of fuzzy matching and geometric matching may allow for more flexible and accurate identification of the exact selector with which an RPA robot is attempting to interact.