Invention Grant
- Patent Title: Product design, configuration and decision system using machine learning
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Application No.: US16747316Application Date: 2020-01-20
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Publication No.: US11227075B2Publication Date: 2022-01-18
- Inventor: Yazan W. Malkosh , Thomas Teger
- Applicant: SWATCHBOOK, Inc.
- Applicant Address: US CA Irvine
- Assignee: SWATCHBOOK, Inc.
- Current Assignee: SWATCHBOOK, Inc.
- Current Assignee Address: US CA Irvine
- Agency: IDP Patent Services
- Agent Olav M. Underdal
- Main IPC: G06F30/10
- IPC: G06F30/10 ; G06N3/04 ; G06N3/08 ; G06Q30/06

Abstract:
A product configuration design system, includes a product configuration design server, including a processor, a non-transitory memory, an input/output, a product storage, a configuration library, and a machine learner; and a product configuration design device, which enables a user to select a three-dimensional object representation, a collection, and an inspiration source, such that the product configuration design server generates a plurality of product configurations as an output from a machine learning calculation on a configuration generation model, which takes as input the three-dimensional object representation, the collection, and the inspiration source. Also disclosed is a method of selecting a three-dimensional object representation, a collection, and an inspirations source; and generating product configurations.
Public/Granted literature
- US20200242279A1 Product design, configuration and decision system using machine learning Public/Granted day:2020-07-30
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