- 专利标题： Machine-learning system for incoming call driver prediction
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申请号： US17888847申请日： 2022-08-16
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公开(公告)号： US11924380B2公开(公告)日： 2024-03-05
- 发明人: Nafiseh Saberian , Ravindra Reddy Tappeta Venkata , Stephen Filios , Logan Sommers Ahlstrom , Abhilash Krishnankutty Nair
- 申请人： TD Ameritrade IP Company, Inc.
- 申请人地址： US NE Omaha
- 专利权人： CHARLES SCHWAB & CO., INC.
- 当前专利权人： CHARLES SCHWAB & CO., INC.
- 当前专利权人地址： US CA San Francisco
- 代理机构： Harness, Dickey & Pierce, P.L.C.
- 主分类号： H04M3/00
- IPC分类号： H04M3/00 ; G06N5/04 ; G06N20/00 ; G06Q30/016 ; H04M3/51
摘要：
A method includes selecting a customer of a company; constructing a digital footprint of the selected customer. The method includes inputting the digital footprint to an artificial intelligence (AI) engine. The method includes obtaining one or more probability values from the AI engine based on the input digital footprint. The method includes selecting a call driver, from among a plurality of call drivers, as a predicted call driver. The method includes providing the predicted call driver to a call center associated with the company.
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