Abstract: A cloud-based platform may receive an indication of one or more event associated with a service provider and modify a configuration associated with providing a schedule of respective service appointments offered by the service provider based on the indication of the one or more events. The cloud-based platform may then receive a request for a new service appointment after modifying the configuration and in response to receiving the request for the new service appointment, determine a number of scheduled appointments associated with a first time window, determine whether the number of scheduled appointments is less than a maximum number of appointments associated with the first time window, and automatically schedule the new service appointment during the first time window in response to determining that the number of scheduled appointments is less than the maximum number of appointments associated with the first window.

Abstract: A cloud-based platform may receive an indication of one or more event associated with a service provider and modify a configuration associated with providing a schedule of respective service appointments offered by the service provider based on the indication of the one or more events. The cloud-based platform may then receive a request for a new service appointment after modifying the configuration and in response to receiving the request for the new service appointment, determine a number of scheduled appointments associated with a first time window, determine whether the number of scheduled appointments is less than a maximum number of appointments associated with the first time window, and automatically schedule the new service appointment during the first time window in response to determining that the number of scheduled appointments is less than the maximum number of appointments associated with the first window.

Abstract: The present approach relates to receiving feedback corresponding to an article provided from a knowledge base. The knowledge base includes a plurality of articles, and the feedback includes one or more feedback inputs. The one or more feedback inputs may be processed with one or more respective task generation rules. A task is generated to address the feedback corresponding to the article if the one or more feedback inputs does not satisfy the one or more respective task generation rules. An action may be received in response to the generated task, and the knowledge base updated based at least in part on the received action.

Abstract: The present approach relates to facilitating the diagnosis of one or more performance issues associated with running an application (and widgets in the application) on a client instance hosted by one or more data centers by allowing script comparison, configuration comparison, and so forth, all in one interface, without the need for a user to navigate between various windows and/or interfaces. In accordance with the present approach, one or more performance issues are determined based on a first set of data indicative of an initial version of the application and a second set of data indicative of a customized version of the application. After determining the one or more performance issues, a visualization of diagnosis data associated with one or more widgets may be generated in response to executing the customized application to categorize the one or more widgets based on a severity of the one or more performance issues.

Abstract: The present approach relates to updating a customer-extended application in such a manner that customer extensions of certain widgets in the application are preserved thorough the update. A cloud-computing system may facilitate customer extension of a widget of an initial version of the application by providing a first subset of script associated with one or more extension point hooks, such that the first subset of the script may receive customer script to extend the widget. In this manner, customers may extend aspects of the widget by modifying the script via the one or more extension point hooks to cater those extensible widgets to specific customer needs in a manner that can be maintained as updates occur over time, which may allow the customer to save time and resources that would otherwise be consumed by modifying the application after the enterprise upgrades the application.

Abstract: The present approach relates to facilitating the diagnosis of one or more performance issues associated with running an application (and widgets in the application) on a client instance hosted by one or more data centers by allowing script comparison, configuration comparison, and so forth, all in one interface, without the need for a user to navigate between various windows and/or interfaces. In accordance with the present approach, one or more performance issues are determined based on a first set of data indicative of an initial version of the application and a second set of data indicative of a customized version of the application. After determining the one or more performance issues, a visualization of diagnosis data associated with one or more widgets may be generated in response to executing the customized application to categorize the one or more widgets based on a severity of the one or more performance issues.

Abstract: The present approach relates to receiving feedback corresponding to an article provided from a knowledge base. The knowledge base includes a plurality of articles, and the feedback includes one or more feedback inputs. The one or more feedback inputs may be processed with one or more respective task generation rules. A task is generated to address the feedback corresponding to the article if the one or more feedback inputs does not satisfy the one or more respective task generation rules. An action may be received in response to the generated task, and the knowledge base updated based at least in part on the received action.