Salesforce Com, Inc.

Salesforce, Inc.

Arvind Krishnan

Scott D Beechuk

Orjan Nils Kjellberg

Michael Ramsey

Steven Tamm

Jason Aaron Ellis

Andrew Waite

William Gradin

Shannon Hale

Luke A Ball

Scott Peter Perket

Anna Bonner Mieritz

Beril Guvendik Maples

Khanh Kim P Nguyen

Gregg Johnson

Benjamin Carl Snyder

Chitra Gulabrani

Jill Blue Lin

Mustafa O Al-Alami

Vahn K Phan

Larry P G Robinson

Jyoti Khubchandani

Christopher A Myers

George Hu

Weiping Peng

Evan Michael Moses

Jonathan Rico Morales

Molly Mahar

Justin Maguire, Iii

Benjamin Myles

Gregory A Bennett

Jean Elie Bovet

Marco Casalaina

Benjamin Snyder

Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).

Systems and methods for cross domain service component interaction

This disclosure relates to tools to facilitate the configuration of interactive agents, sometimes referred to as bots, chatbots, virtual robots, or talkbots. Specifically, the disclosure relates to the provision of a map view visualization of an interactive agent. The map view can display a complexity indicator or usage percentage for each dialog and provide an easy mechanism for creation of new dialogs, actions, parameters, rules, and logic.

Bot builder dialog map

Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Systems and methods for creating custom actions

Techniques for providing feed-based case management on an online social network. A user interface that includes a publisher and an information feed is provided. Information associated with a record is received and the record is updated in a database system. A feed item associated with the database system update is generated and provided in the information feed. The feed item includes one or more actionable selections providing a reference to the publisher. Selection of one of the one or more actionable selections causes the publisher to be operable to receive further information associated with the record. The record is capable of being updated based on the further information. In some implementations, the record is a case and the user interface serves as a single interface for all interactions required in solving the case.

Computer implemented methods and apparatus for feed-based case management

Disclosed herein are embodiments for a visual bot builder. An embodiment operates by receiving a selected dialog including one or more interactions between a chat bot and a recipient. A plurality phrases corresponding to triggering an execution of the selected dialog is received. The selected dialog is configured such that upon a receipt of one or more of the plurality of phrases, the chat bot executes the selected dialog. One of the plurality of phrases is received. The selected dialog is executed responsive to the received one of the plurality of phrases.

Intent interpreter for a visual bot builder

Disclosed herein are embodiments for a visual bot builder. An embodiment operates by visually displaying, within a user interface, a plurality of selectable chat bot functions associated with a first dialog. A first selection of one of the bot functions is received. It is determined that the first selection corresponds to calling a selectable second dialog from a one or more previously configured dialogs. A link to the one or more selectable previously configured dialogs is provided and a second selection of one of the previously configured dialogs is received as the second dialog. The execution of the first dialog is linked to an execution of the second dialog. A preview of the execution of the first dialog including the second dialog is provided.

Dialog reuse for a visual bot builder

Embodiments regard predictive intelligence for service and support. An embodiment of a method includes receiving at an interface for a database system data entered in one or more data fields regarding service of a first case for a first client, the data being received from the first client or from an agent entering data regarding the first case; automatically comparing by the database system the data for the first case with data for other cases stored in a data store of the database system; identifying by the database system one or more similar cases based on the comparison of data; automatically generating by a predictive intelligence algorithm applied by the database system one or more predictive actions for the first case based on the identified one or more similar cases; and transmitting data regarding the one or more predictive actions to the first client or agent.

Predictive intelligence for service and support

Growing community of inventors

San Francisco, CA, United States of America

Arvind Krishnan