Personality trait-based customer behavior prediction

US11416884B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Sanjay Sharma · New Delhi, IN
• Nilesh Kumar Gupta · New Delhi, IN
• Madhuleena Adhikary · Sherghati, IN
• Arpendu Kumar Ganguly · Bhangrola, IN
• Utkarsh Mittal · Foster City, US
• Samik Adhikary · Manesar, IN
• Amitava Dey · New Delhi, IN

Key dates

• Filing date: Jul 9, 2020
• Grant date: Aug 16, 2022
• Expiry date: Jul 9, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0204
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.