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.

Date of Patent:
Nov. 14, 2023

Filed:

Sep. 23, 2019
Applicant:

Informatica Llc, Redwood City, CA (US);

Inventors:

Ansa Sekharan, Saratoga, CA (US);

Ashok Gunasekaran, Saratoga, CA (US);

Kali Prasad Vittala, Bangalore, IN;

Arjun Krishnamoorthy, Bangalore, IN;

Vivekanand Kompella, Sunnyvale, CA (US);

Rengarajan Margasahayam, Sunnyvale, CA (US);

Assignee:

Informatica LLC, Redwood City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0201 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0201 (2013.01); G06N 20/00 (2019.01);
Abstract

A system, method, and computer-readable medium for determining customer adoption based on monitored data, including receiving product usage parameters from a product data store on the computer network, each product usage parameter being determined based on tracking usage of the product by the customer over a predetermined time period, storing a customer profile for the customer comprising customer parameters, the customer parameters being determined based on customer information stored in a customer database on the computer network, receiving service parameters from a customer support data store on the computer network, each service parameter being determined based on tracking support services provided to the customer for the product over the predetermined time period, and generating a product adoption score by applying a machine learning model to the product usage parameters and the customer profile to generate a usage-based adoption score and adjusting the usage-based adoption score based on the service parameters.


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