Invention Grant
- Patent Title: Machine-learning system for incoming call driver prediction
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Application No.: US16917752Application Date: 2020-06-30
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Publication No.: US11431848B2Publication Date: 2022-08-30
- Inventor: Nafiseh Saberian , Ravindra Reddy Tappeta Venkata , Stephen Filios , Logan Sommers Ahlstrom , Abhilash Krishnankutty Nair
- Applicant: TD Ameritrade IP Company, Inc.
- Applicant Address: US NE Omaha
- Assignee: TD Ameritrade IP Company, Inc.
- Current Assignee: TD Ameritrade IP Company, Inc.
- Current Assignee Address: US NE Omaha
- Agency: Harness, Dickey & Pierce, P.L.C.
- Main IPC: H04M3/00
- IPC: H04M3/00 ; H04M5/00 ; H04M3/51 ; G06N20/00 ; G06Q30/00 ; G06N5/04
Abstract:
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.
Public/Granted literature
- US20210409545A1 Machine-Learning System for Incoming Call Driver Prediction Public/Granted day:2021-12-30
Information query
