Invention Grant
- Patent Title: Automatic rule generation for next-action recommendation engine
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Application No.: US16520556Application Date: 2019-07-24
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Publication No.: US11210712B2Publication Date: 2021-12-28
- Inventor: Yuxi Zhang , Kexin Xie , Shrestha Basu Mallick , Darrell Grissen
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Butzel Long
- Agent Donald J. Lecher
- Main IPC: G06Q30/02
- IPC: G06Q30/02

Abstract:
A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
Public/Granted literature
- US20210027338A1 AUTOMATIC RULE GENERATION FOR NEXT-ACTION RECOMMENDATION ENGINE Public/Granted day:2021-01-28
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