Salesforce, Inc.

James Douglas Harrison

Kevin Zhang

Caiming Xiong

Bryan McCann

Nitish Shirish Keskar

Tian Xie

Xinyi Yang

Jean-Marc Soumet

Roojuta Lalani

Thomas Archie Cook, Jr

Manju Vijayakumar

Johnson Liu

Michael Machado

Juan Rodriguez

Minal Khodani

Adarsha Badarinath

Kevin Schoen

Chitra Gulabrani

Srikanth Kollu

Rohiniben Thakar

Amit Hetawal

Qiong Liu

Karl Ryszard Skucha

Rafael Amsili

Vishal Motwani

Zhihao Zou

A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.

Machine learning based tenant-specific chatbots for performing actions in a multi-tenant system

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Mill Valley, CA, United States of America

James Douglas Harrison