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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 10133999 B1

PDFFull Text
Date of Patent:
Nov. 20, 2018

Filed:

Dec. 08, 2017

Analyzing conversations to automatically identify deals at risk

Applicant:

Affectlayer, Inc., Tel Aviv-Yafo, IL;

Inventors:

Roy Raanani, Mill Valley, CA (US);

Russell Levy, Raanana, IL;

Dominik Facher, San Francisco, CA (US);

Micha Yochanan Breakstone, Raanana, IL;

Assignee:

AffectLayer, Inc., Tel Aviv-Jaffa, IL;

Attorney:

Perkins Coie LLP

Primary Examiner:

Thjuan K Addy

Int. Cl.
CPC ...
H04M 3/00 (2006.01); H04M 5/00 (2006.01); G06Q 10/06 (2012.01); G10L 15/22 (2006.01); G10L 15/08 (2006.01); G10L 15/02 (2006.01); G06F 17/27 (2006.01); G06N 99/00 (2010.01); H04M 3/51 (2006.01); H04M 3/523 (2006.01); G10L 17/02 (2013.01); G06N 5/02 (2006.01); G10L 25/51 (2013.01); G10L 25/63 (2013.01); H04M 3/42 (2006.01); G10L 17/26 (2013.01);
U.S. Cl.
CPC ...
G06Q 10/0635 (2013.01); G06F 17/2785 (2013.01); G06N 99/005 (2013.01); G10L 15/02 (2013.01); G10L 15/08 (2013.01); G10L 15/22 (2013.01); G10L 17/02 (2013.01); H04M 3/5175 (2013.01); H04M 3/5232 (2013.01); G06N 5/02 (2013.01); G10L 17/26 (2013.01); G10L 25/51 (2013.01); G10L 25/63 (2013.01); G10L 2015/088 (2013.01); H04M 3/42221 (2013.01); H04M 2201/40 (2013.01); H04M 2203/357 (2013.01); H04M 2203/556 (2013.01);
Abstract

A risk identification system automatically determines deals at risk by analyzing conversations of representatives with customers. The risk identification system retrieves recordings of various conversations, extracts features of each of the conversations, and analyzes the features to determine if any of the conversations includes features that are indicative of a deal discussed in that conversation being at risk. By performing such an analysis of conversations, the risk identification system can identify a number of deals that are at risk and generate a report of such deals and notify a consumer user of the risk identification system of such deals.

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