Abstract: Techniques are disclosed relating to automatically resolving an error in a user interaction with a user page without the user having to disengage from the user page to resolve the error. A monitoring agent may interface with the user page. The monitoring agent may provide an error signal to an error resolution module in response to detecting an error in the user interaction with the user page. The error resolution module may determine a causal factor for the error based on the error signal and contextual data at the time of the error. A resolution flow may be determined based on the causal factor. The resolution flow may be implemented by the monitoring agent contextually within the user page to resolve the error without the user disengaging from the user page.

Abstract: Techniques are disclosed relating to automatically resolving an error in a user interaction with a user page without the user having to disengage from the user page to resolve the error. A monitoring agent may interface with the user page. The monitoring agent may provide an error signal to an error resolution module in response to detecting an error in the user interaction with the user page. The error resolution module may determine a causal factor for the error based on the error signal and contextual data at the time of the error. A resolution flow may be determined based on the causal factor. The resolution flow may be implemented by the monitoring agent contextually within the user page to resolve the error without the user disengaging from the user page.

Abstract: Techniques are disclosed relating to automatically resolving an error in a user interaction with a user page without the user having to disengage from the user page to resolve the error. A monitoring agent may interface with the user page. The monitoring agent may provide an error signal to an error resolution module in response to detecting an error in the user interaction with the user page. The error resolution module may determine a causal factor for the error based on the error signal and contextual data at the time of the error. A resolution flow may be determined based on the causal factor. The resolution flow may be implemented by the monitoring agent contextually within the user page to resolve the error without the user disengaging from the user page.

Abstract: Methods and systems for managing a public perspective of an entity by analyzing online posts and automatically performing actions in response to these online posts are described herein. Real-time feeds of online posts may be streamed from social media servers. Online posts that are determined to be related to the entity may be extracted from the feeds and accumulated for analysis. A sentiment analysis may be performed on the online posts to determine the public perspective toward the entity. Content of the online posts may be analyzed to determine whether it is related to a prohibited transaction or an inquiry for a product or a service offered by the entity. Actions may be automatically performed to prevent the prohibited transaction from occurring. Resources related to the product or the service may be offered in response to the online post.

Abstract: Techniques are disclosed relating to automatically resolving an error in a user interaction with a user page without the user having to disengage from the user page to resolve the error. A monitoring agent may interface with the user page. The monitoring agent may provide an error signal to an error resolution module in response to detecting an error in the user interaction with the user page. The error resolution module may determine a causal factor for the error based on the error signal and contextual data at the time of the error. A resolution flow may be determined based on the causal factor. The resolution flow may be implemented by the monitoring agent contextually within the user page to resolve the error without the user disengaging from the user page.

Abstract: Methods and systems for managing a public perspective of an entity by analyzing online posts and automatically performing actions in response to these online posts are described herein. Real-time feeds of online posts may be streamed from social media servers. Online posts that are determined to be related to the entity may be extracted from the feeds and accumulated for analysis. A sentiment analysis may be performed on the online posts to determine the public perspective toward the entity. Content of the online posts may be analyzed to determine whether it is related to a prohibited transaction or an inquiry for a product or a service offered by the entity. Actions may be automatically performed to prevent the prohibited transaction from occurring. Resources related to the product or the service may be offered in response to the online post.

Abstract: Methods and systems for managing a public perspective of an entity by analyzing online posts and automatically performing actions in response to these online posts are described herein. Real-time feeds of online posts may be streamed from social media servers. Online posts that are determined to be related to the entity may be extracted from the feeds and accumulated for analysis. A sentiment analysis may be performed on the online posts to determine the public perspective toward the entity. Content of the online posts may be analyzed to determine whether it is related to a prohibited transaction or an inquiry for a product or a service offered by the entity. Actions may be automatically performed to prevent the prohibited transaction from occurring. Resources related to the product or the service may be offered in response to the online post.

Abstract: Methods and systems for managing a public perspective of an entity by analyzing online posts and automatically performing actions in response to these online posts are described herein. Real-time feeds of online posts may be streamed from social media servers. Online posts that are determined to be related to the entity may be extracted from the feeds and accumulated for analysis. A sentiment analysis may be performed on the online posts to determine the public perspective toward the entity. Content of the online posts may be analyzed to determine whether it is related to a prohibited transaction or an inquiry for a product or a service offered by the entity. Actions may be automatically performed to prevent the prohibited transaction from occurring. Resources related to the product or the service may be offered in response to the online post.