公开(公告)号：US20240135324A1

公开(公告)日：2024-04-25

申请号：US18546636

申请日：2022-02-17

Applicant: Colgate-Palmolive Company

Inventor： Zhichao HU ,  Michael FITZGERALD ,  Iraklis PAPPAS ,  Keeyan HAGHSHENAS ,  Junfang Katy QIAN-PENA ,  John WOLF ,  Lingfei ZENG ,  Teressa CLARK ,  Jason JOYCE ,  Evan WIREMAN

IPC: G06Q10/101

CPC classification number: G06Q10/101

Abstract: A system, apparatus, and/or method is disclosed for—inter alia—producing a product. One or more financial characteristics relating to one or more sample products may be received. For each of the sample products, a value for each of one or more respective properties of the sample product may be received. The received values of the one or more respective properties of the sample products, the one or more received financial characteristics relating to the sample products, and a desired financial characteristic for a potential product may be input into the machine learning model. A value for each of the one or more respective properties for the potential product may be determined based on the desired financial characteristic for the potential product. A product having the determined value for each of the one or more respective properties for the potential product may be produced.

公开(公告)号：US20240232805A9

公开(公告)日：2024-07-11

申请号：US18546636

申请日：2022-02-17

Applicant: Colgate-Palmolive Company

Inventor： Zhichao HU ,  Michael FITZGERALD ,  Iraklis PAPPAS ,  Keeyan HAGHSHENAS ,  Junfang Katy QIAN-PENA ,  John WOLF ,  Lingfei ZENG ,  Teressa CLARK ,  Jason JOYCE ,  Evan WIREMAN

IPC: G06Q10/101

CPC classification number: G06Q10/101

Abstract: A system, apparatus, and/or method is disclosed for—inter alia—producing a product. One or more financial characteristics relating to one or more sample products may be received. For each of the sample products, a value for each of one or more respective properties of the sample product may be received. The received values of the one or more respective properties of the sample products, the one or more received financial characteristics relating to the sample products, and a desired financial characteristic for a potential product may be input into the machine learning model. A value for each of the one or more respective properties for the potential product may be determined based on the desired financial characteristic for the potential product. A product having the determined value for each of the one or more respective properties for the potential product may be produced.