Salesforce, Inc.

Salesforce Com, Inc.

Alex Edelstein

Samuel William Bailey

Samantha Reynard

Douglas Eliot Chasman

Christian Posse

Sarah Aerni

Hugh Francis Cockburn

Till Christian Bergmann

Michael Weil

Penny Tselikis

Zineb Laraki

David Chungnan Wu

Antoine Barseni

Franck Thomas

Antoine Magnier

Nhi Nguyen

Benoit Dufourd

Jason Teller

Mehmet Ezbiderli

William Charles Eidson

Martin Holladay

Joel Ragnar Palmert

Paul Anthony Mason

Matthew Van Wely

Caroline Joan Liu

Barkha Keni

Tanveer Singh Randhawa

Greg Smolyn

Glyn Able Burton

Michael Coughlin

Amar Gajanan Deogirikar

Methods, systems, apparatuses, devices, and computer program products are described. A system may identify, from an event log including log entries for a tenant of a multi-tenant database system, a pattern of log entries corresponding to main actions and satisfying a frequency threshold. The system may identify log entries associated with the pattern and corresponding to the main actions, detailed actions, or both. The system may retrieve data corresponding to a history field of a data object associated with the pattern and may determine at least a portion of a process flow for the data object according to the pattern and based on the log entries and the historical data. The process flow may include operations to perform using the data object. In some cases, the system may transmit, to a user device, an indication of the portion of the process flow for user review and implementation.

Automatic determination of alternative paths for a process flow using machine learning

Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the customization of a process flow builder. A first graphical user interface (GUI) identifying one or more user selectable process flow types is provided. Responsive to a selection of a process flow type, information corresponding to the selected process flow type is obtained. The information includes one or more headers and, for at least a first header, identifies one or more elements that are user-selectable for addition to a layout representing a process flow. A second GUI is generated using the information. A user may access the second GUI to generate a layout representing a process flow of the process flow type.

Process flow builder customization

Methods, systems, apparatuses, devices, and computer program products are described. An intelligent routing system may route a data object to a path in a process flow using a model, such as a machine-learned model. The system may receive a first data object and may route the first data object along a path of the process flow using a random routing procedure, for example, for model training. The routing may involve performing operations based on the path and the features of the first data object. The system may update one or more models based on an outcome of the operations. Following training, the system may insert a model into the process flow at a decision point between paths. The system may receive a second data object and may route the second data object to a path using the model and based on features of the second data object.

Intelligent routing of data objects between paths using machine learning

Methods, systems, and devices for processing private data using a workflow action are described. A method may include identifying, at a user device that is authenticated to access a local system, an action of a workflow that is running on an external server that is external to the local system. The action may involve processing private data stored within the local system. The method may further include receiving, at the user device, a direct data query associated with the action, the direct data query including a set of encoded instructions that are self-extracting upon being executed by a browser of the user device. The method may further include executing, by the browser of the user device, the set of encoded instructions to directly access the private data and transmitting an indication of a result of the action based on directly accessing the private data.

Processing private data using a workflow action

Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the debug tracing of a Next Best Action (NBA) strategy engine. During debug tracing, a user may interact with a user interface representing execution of the NBA strategy engine. Upon interacting with a node representing a decision point, a corresponding ordered list of options generated by the NBA strategy engine and a set of time values resulting from execution of the corresponding segment of the NBA strategy engine are provided for display in proximity to the node.

Debug tracing of next best action strategy engine

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San Francisco, CA, United States of America

Alex Edelstein