# US 10,504,170 B2 · Method for producing garments from patterns with size grid providing custom-like fit

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- Number: US 10,504,170 B2
- Document ID: US10504170B2
- Status: Granted
- Kind: B2
- Application number: 15/990,862
- Filed: 2018-05-29
- Published: 2019-01-03
- Granted: 2019-12-10
- Earliest claimed: 2013-06-25
- Assignees: Stantt, Inc.
- Applicants: Stantt, Inc.
- Inventors: Matt Hornbuckle
- Web page: https://patentgrep.com/patent/US10504170B2

## CPC

- G06Q 50/04: Manufacturing
- A41D 1/00: Garments (for children A41D11/00)
- A41H 3/007: {Methods of drafting or marking-out patterns using computers (computer-aided design G06F30/00)}
- G06Q 30/0201: Market modelling; Market analysis; Collecting market data
- G06Q 30/0621: {by configuring or customising goods or services}
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- A41D: OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
- A41H: APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR

## Abstract

Garments are produced from patterns with a size grid that provides custom-like fit for ready-to-wear garments. The patterns are generated from a size chart of groups, sub groups and sub sub groups of anchor measures and priority measures. The size grid for various garments (men, women, children) includes a large number of sizes, anywhere from a few dozen to over two hundred. Given measures of a customer, these measures are screened against the groups, sub groups and sub sub groups to determine a correct size.

## Claims

### Claim 1

A method for generating patterns for manufacturing ready-to-wear garments with a custom-like fit of a type of garment according to a size grid, said method comprising:
accessing body scan data of a statistically significant number of consumers including body measures for a list of standard measures for the type of garment;
for each standard measure in the list of standard measures, categorizing the standard measure as averaged or as variant based on whether the standard measure is for an area related to fit of the type of garment, and based on statistical analysis of the body scan data;
prioritizing the variant standard measures based on, for each variant standard measure, a degree of correlation of the variant standard measure to the other standard measures, and based on whether the variant standard measure is for an area related to fit, and determining a first highest priority variant standard measure as an anchor variant measure;
arranging the accessed body scan data into groups with set increments for the anchor variant measure;
arranging the accessed body scan data in the groups into first sub-groups with set increments for a second highest priority variant standard measure from among the prioritized variant standard measures;
arranging the accessed body scan data in the groups and first subgroups into second sub-groups with set increments for a third highest priority variant standard measure from among the prioritized variant standard measures;
for each second subgroup, selecting a body measure for each variant standard measure;
within each of the second sub-groups, running statistical analysis for each of the averaged standard measures;
creating a size grid defining a plurality of sizes, wherein each size has a value for each of the standard measures based on the selected body measures for the second subgroups, and the statistical analyses of the average standard measures performed within the second subgroups;
for each size, generating a pattern for manufacturing a ready-to-wear garment of the type of garment, the pattern having dimensions based on the values for each of the standard measures according to the size grid; and
manufacturing a garment of each size using the pattern determined for the size.

### Claim 2 (depends on 1)

The method of claim 1, wherein the size grid has between 30 and 250 sizes.

### Claim 3 (depends on 1)

The method of claim 1, further comprising:
creating a single pattern for a single size corresponding to a selected second subgroup, and
fitting and modifying the single pattern on a fit model having measures falling within the variant measures of the selected second sub group.

### Claim 4 (depends on 1)

The method of claim 1, further comprising:
arranging the accessed body scan data in the groups, first subgroups and second subgroups into third sub-groups with set increments for a fourth highest priority variant standard measure from among the prioritized variant standard measures; and
wherein the statistical analysis for each of the averaged standard measures is performed within each of the third sub-groups.