Abstract: The present approach relates to systems and methods for facilitating a client-agent conversation using dynamic, contextual information related to a client portal. The contextual information for the conversation may be determined using a server side script and/or a client side script that provides relevant portal usage data. The contextual information may be used to determine a conversation topic, which may be used to facilitate routing a request to chat to the appropriate agent for the topic.

Abstract: The present approach relates to systems and methods for facilitating a client-agent conversation using dynamic, contextual information related to a client portal. The contextual information for the conversation may be determined using a server side script and/or a client side script that provides relevant portal usage data. The contextual information may be used to determine a conversation topic, which may be used to facilitate routing a request to chat to the appropriate agent for the topic.

Abstract: The present approach relates to systems and methods for facilitating a client-agent conversation using dynamic, contextual information related to a client portal. The contextual information for the conversation may be determined using a server side script and/or a client side script that provides relevant portal usage data. The contextual information may be used to determine a conversation topic, which may be used to facilitate routing a request to chat to the appropriate agent for the topic.

Abstract: A first example embodiment may involve obtaining, by a mobile device associated with a particular user, representations of: (i) a first set of custom enterprise-related actions that are specific to the particular user, and (ii) a second set of general enterprise-related actions that are applicable to multiple users. The first example embodiment may further involve generating and displaying, on a screen of the mobile device, a scrollable graphical user interface including an ordering of actuatable user interface elements including: actuatable user interface elements for a search text box, followed by actuatable user interface elements for the first set of custom enterprise-related actions, followed by actuatable user interface elements for the second set of general enterprise-related actions.

Abstract: A first example embodiment may involve obtaining, by a mobile device associated with a particular user, representations of: (i) a first set of custom enterprise-related actions that are specific to the particular user, and (ii) a second set of general enterprise-related actions that are applicable to multiple users. The first example embodiment may further involve generating and displaying, on a screen of the mobile device, a scrollable graphical user interface including an ordering of actuatable user interface elements including: actuatable user interface elements for a search text box, followed by actuatable user interface elements for the first set of custom enterprise-related actions, followed by actuatable user interface elements for the second set of general enterprise-related actions.

Abstract: The present approach relates to systems and methods for facilitating a client-agent conversation using dynamic, contextual information related to a client portal. The contextual information for the conversation may be determined using a server side script and/or a client side script that provides relevant portal usage data. The contextual information may be used to determine a conversation topic, which may be used to facilitate routing a request to chat to the appropriate agent for the topic.

Abstract: A client instance provides search suggestions based on a partial search query. The search suggestions include user search suggestions based on previous search queries performed by the user and instance search suggestions based on previous search queries performed on the instance. The client instance filters the instance search suggestions based on filter criteria associated with the user, such as an interface used by the user, a search context, user group that the user belongs to, domain used by the user, and so on. The client instance may remove the search suggestions that include blacklisted terms. The client instance may rank the search suggestions (e.g., based on frequency and/or recency) and enable the user to select those ranked search suggestions that meet or exceed a threshold.