WO2004084661A2 - Systems and methods for improved apparel fit - Google Patents
Systems and methods for improved apparel fit Download PDFInfo
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- WO2004084661A2 WO2004084661A2 PCT/US2004/008363 US2004008363W WO2004084661A2 WO 2004084661 A2 WO2004084661 A2 WO 2004084661A2 US 2004008363 W US2004008363 W US 2004008363W WO 2004084661 A2 WO2004084661 A2 WO 2004084661A2
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Classifications
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41B—SHIRTS; UNDERWEAR; BABY LINEN; HANDKERCHIEFS
- A41B9/00—Undergarments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
- A41H5/00—Dress forms; Bust forms; Stands
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- D—TEXTILES; PAPER
- D05—SEWING; EMBROIDERING; TUFTING
- D05B—SEWING
- D05B57/00—Loop takers, e.g. loopers
- D05B57/08—Loop takers, e.g. loopers for lock-stitch sewing machines
- D05B57/10—Shuttles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
Definitions
- the present invention relates to systems and methods for designing and producing apparel, particularly apparel designed and produced for one or more target consumers based on new and improved fit specifications.
- Apparel fit and sizing are top concerns for apparel brands and retailers worldwide. Based on a recent survey, 62% of consumers say they can't find clothes that fit well; 57% say their body shape won't fit into today's standard sizes; 51% say manufacturers don't make clothes for real bodies. Importantly, fit should include size and design preferences for each specific population, because of the preferred differences exhibited by younger people as compared with middle aged or elderly persons and among ethnic groups. As such, unlike current systems, body cathexis (self body image) must be considered along with body measurements in order to develop a satisfactory fit among targeted populations.
- the present invention solves the current problem associated with inefficient and ineffective apparel fit.
- the present invention uses scientific data and market research to provide for apparel designed to fit any consumer profile or combination (including age, shape, ethnicity, product category, other consumer fit preferences and combinations, thereof).
- the "middle missy" consumer segment (more than 38 million women born between 1946 and 1964, also known as "Baby Boomers") holds the most significant purchasing power of any consumer segment.
- ASTM's 13% fit performance for this segment a research assessment of the present invention shows that the present invention will fit more than 75% of these women in off- the-rack apparel.
- the present invention provides for a method for fitting a garment fit to a target consumer group comprising the steps of determining common body types for the target consumer group, establishing customized body measurement standards for each body type, selecting at least one real fit model for each body type, creating a sample garment in a range of sizes using grading rules, checking each sample garment on a fit model selected for each size and body type, preparing a block for each sample garment size and body type, and using the block to provide a garment fit for a target consumer group.
- the present invention provides for a system for preparing a custom fit garment comprising: quantitative and qualitative data, including body point measurements about the target consumer group used to establish customized body measurement standards; a sample garment created from the customized body measurements standards; a first real fit model with body measurements that fall within the customized body measurement standards used to fit the sample garment; one or more grading rules to create sample garments in a range of sizes for the target consumer group; and a second fit model selected from the target consumer group and used to perfect the fit of the sample garment and prepare a custom fit garment.
- the present invention is a method of providing a custom fit garment comprising the steps of selecting a target group based on at least one criteria, conducting research about the target group to obtain data, identifying at least one body type from the data, providing size groupings for each body type, establishing customized body measurement standards for each size grouping, selecting a size in the middle of the size grouping to create a sample garment, checking the fit of sample garment on a real fit model with body measurements that conform with the customized body measurement standards, applying grading rules to the sample garment to obtain sample garments for the entire size grouping, checking the fit at selected sizes using a real fit model for each size, and creating a custom fit garment at each size and body type after fits are checked.
- the present invention provides for a method of offering complete specifications for one or more specific apparel segments, each segment being a product category in the apparel market (e.g., sportswear, swimwear, casual wear).
- An advantage of the present invention is its comprehensive and accurate method of fitting any consumer without increasing retail inventories. As such, the present invention provides for increased sales without increasing inventory quantities.
- FIGURE 1 depicts women with "size 10" shoulders, according to ASTM fit specifications in a (A) front view, (B) side view, and (C) rear view;
- FIGURE 2 is a front view of a body frame illustrating some typical body measurements in accordance with one aspect of the present invention
- FIGURE 3 is a flowchart illustrating inventive steps in accordance with one aspect of the present invention.
- FIGURE 4 is a flowchart illustrating additional inventive steps in accordance with one aspect of the present invention.
- FIGURE 5 is a flowchart illustrating yet more inventive steps in accordance with one aspect of the present invention
- FIGURE 6 is a flowchart illustrating still more inventive steps in accordance with one aspect of the present invention
- FIGURE 7 is a flowchart illustrating more inventive steps in accordance with one aspect of the present invention.
- FIGURE 8 is a flowchart illustrating still more inventive steps in accordance with one aspect of the present invention.
- the present invention provides for an apparel standard system with the following features: (a) addresses fit by height, weight, category, ethnicity, and body shape; (b) incorporates the most current and authoritative scientific and academic data in existence; and (c) incorporates consumer preferences by size, age, ethnicity, and body shape into grade rules.
- the present invention enables any manufacturer or retailer to design, produce, and provide for consumer apparel with a consistent fit across all body types, ethnicities, and age groups, independent of brand.
- Ethnicity also plays a role in driving design preferences, e.g., some ethnicities prefer tighter fitting clothes than others. Physical differences and design preferences may be extremely pronounced depending on an age group and/or ethnicity, in part, because there are many distinct body shapes and types within an age group. Examples of body types include average, full, straight, hourglass, curvy, and round. Additionally, body types may include tall, and petite.
- apparel that fits one body type will not necessarily fit the same woman of the same size if a different body type.
- the present invention is not intended to replace clothing design, but, in part, to provide a real body (i.e., fit model) that fits inside a specific design. All preferences provided by the present invention may be used to inform a design, if a designer chooses to use them.
- the present invention is also intended for fit technicians, production departments, and apparel companies. A more detailed description of several aspects of the present invention is now provided.
- Quantitative research and analysis is performed regarding one or more target consumer groups in order to identify: common body measurements, body types, and preferences, as examples.
- Data is obtained about a target group, based on a set of criteria, from any of a number of sources, such as consumer surveys, market research, questionnaires, focus groups, interviews, apparel-related databases or inventories, and combinations thereof.
- Data may also include body measurements obtained from three-dimensional scanning of a target group. Data, whenever possible, is from a large enough group that statistically valid analysis may be performed.
- Data from two or more sources may be compared or used in combination to validate findings from one source. For example, survey results may identify design preferences or indicate how poorly a garment fits.
- Such data may be used to set criteria for an analysis using an apparel-related database that houses three-dimensional body measurement data.
- One of the features of the present invention is its ability to mine large apparel-related databases, such as the Textile Technology Corporation's SizeUSA (Size USA) national data, and marry it with scientific research.
- a critical differentiation between the present invention and prior art is the approach taken by the present invention to mine the extensive SizeUSA national data in order to identify the following: the physiognomy of women's bodies as they age; the variances in body types related to ethnicity; the consumer preferences related to body size, body image and age.
- Such data mining in combination with other data obtained from a target group, has provided specific and customized measurement standards for a target group that is used for the present invention.
- analysis includes sorting data for a specific target group (e.g., Baby Boomers) from a large database (e.g., SizeUSA data) into size ranges with defined upper and lower parameters for each size range.
- the data was sorted using ASTM standards in combination with other available body measurement guides currently used in the apparel industry. This allowed the data to be "sized” according to criteria that would benefit the consumer.
- Size ranges in each new grouping were then adjusted based on survey analysis (e.g., based on fit preferences, such as physical and design preferences).
- new "size” groupings were essentially created that included both body type and size criteria.
- new size groupings include body type adjustments to each size in bust and in hips, wherein two new size groupings replace the industry "standard” size, e.g., curvy size 10 and straight size 10 replace the industry standard size 10.
- Such new size groupings will work for all apparel for the Baby Boomer target group, such as for tops, bottoms, dresses, and skirts, as examples.
- the customized system includes new size groupings that fall within the more conventional "sizing" scheme currently used in the industry. As described above, new size grouping are identified after initially searching a set of data using criteria based on current industry body measurement guides, such as ASTM.
- body measurement data from such a target group is categorized into "sizes” after modifying existing industry body measurement guides, such as ASTM.
- the categorization into the modified "sizes” applies adjustments to industry standard sizes in order to prevent consumer confusion.
- ranges and tolerances in each group are modified from industry standard.
- the modifications while based on industry standards, takes into account other standard body measurement guides used by industry that have evolved since ASTM was first conceived. Thus, new size groupings are created by applying industry standards with modifications to real data about a target group
- New size groupings are further modified by adjusting for fit preferences and body type.
- Information regarding fit preferences and/or body type are obtained from sources, such as surveys, questionnaires, and interviews.
- the information is translated into numerical data, generally about one or more specific body measurements, thus customized body measurement standards may also be adjusted based on fit preferences and body type.
- the present invention identifies body point measurements considered critical, noncritical, and/or unnecessary.
- typical body point measurements standards 12 are illustrated for a body frame 10.
- the body measurement standards 12 for body measurements at various body points of measurement 14 are well known in the art and include height 16, mid- neck 18, center front neck to waist 20, arm length from shoulder 22, bust 24, waist 26, high hip 28, low hip 30 and knee height 32. It will be understood that mid-neck 18, bust 24, waist 26, high hip 28 and low hip 30, for example, are measured about the circumference of the body at the location shown. Other common body measurements may be used.
- Body points of measurement 14 may include critical body points of measurement 34 and non-critical body points of measurement 36. In general, critical body points of measurement are those points where apparel fit is considered important to the consumer. Non-critical body points of measurement are generally less important for apparel fit.
- customized body measurement standards are body measurements that have been adjusted after real body measurement data (critical and noncritical points of measurement) are analyzed from a database.
- a good source of real body measurement data is from a database of scanned body measurements comprising several hundred body points per individual derived from three-dimensional scanning.
- Such a database when housing statistically evaluable data about one or more target groups, allows such data to be analyzed within a specific target group (e.g., age, gender, ethnicity) and also allows preferences to be extracted from the data to create a customized set of body measurement standards.
- body measurement data about that target group is evaluated based on industry standard body measurements (e.g., ASTM) and modified using current practices in the industry. This set of customized body measurement data may be further customized/modified after applying queries to the data regarding such things as body shape incidence and significance.
- New size-shape (body type) measurements for each target group are then created, as described above, wherein the industry standard body measurement for waist/girth is customized for each target group. For example, a "curvy" Baby Boomer woman will have a waist/girth body measurement (range and tolerances) that differs from a "straight" Baby Boomer woman.
- the customized body measurement standards are bracketed into the new size groupings and used to fit apparel as provided with the present invention.
- a "real fit model” is a real individual with body measurements that fall within the customized measurement standards (with tolerances) for a given new size grouping (e.g., new sizes based on body type, age, ethnicity, etc., as described above).
- the customized measurement standards are those obtained with the present invention by researching and analyzing apparel-related data, as described above. Such data may be obtained from a large database (e.g., SizeUSA) as well as from one or more of the following, including market research, survey, questionnaire, focus group, interview, and combinations thereof.
- the real fit model used herein differs from those fit models used by industry standards, in which suppliers of mass-produced garments have widely varying standards, but each supplier generally bases the design of a particular garment on a sizing standard using a fit model of a single body type and the dimensions of a specific size (i.e., size 6 or 8) and age (i.e., generally under 35 years).
- a specific size i.e., size 6 or 8
- age i.e., generally under 35 years.
- the suppliers generally "grades up" to determine the sizing standards for each fit location on the garment for each larger size, increasing the sizes of the various areas of the garment by the same proportion. This grading is performed with no regard to body type-, age- or ethnicity-related variances.
- the present invention takes into account the fact that measurements of a larger body of the same age are not larger than a smaller body by the same proportion at all body points of measurement. Because the present invention implements a new size grouping for each target consumer group that takes into account body type, age, and/or ethnicity, the present invention may provide for real fit models that match each of the new size groupings in a target population. At a minimum, the present invention identifies the most common new size grouping within a target population and provides for at least one fit model with body measurements that fall within the customized standards (with tolerances). In some instances, at least two real fit models are identified for each size grouping.
- a size "10" grouping there may be a real fit model for a curvy top size 10, another for a straight top size 10, yet another for a curvy bottom size 10 and still another for a straight bottom size 10.
- Such schemes are beneficial for fitting separate garments, such as shirts, pants, skirts, and shorts.
- the present invention provides for fit specifications at each fit location (e.g., body point) on a garment (apparel) that is based on customized body measurement standards using at least one real fit model for each target group.
- Real fit models are also used to perfect the block that is prepared for each garment.
- an initial step in fitting a garment includes identifying at least one real fit model for the target group.
- the middle (e.g., mean) of the new size grouping for a particular target group is determined (based on analysis of the original database from which the target group data was selected). For example, the middle size grouping for a Baby Boomer woman may be a size 12. On the other hand, the middle size grouping for a teen female may be a size 8.
- the middle of the new size grouping is determined.
- at least one fit model for that size grouping is identified.
- the identified real fit model will have body measurements that fall within the customized measurement standards previously established for that new size grouping and target group.
- the real fit model's measurements at each particular body point of measurement is used to create a sample garment. The sample garment is then made to fit well, if not perfectly, on the real fit model.
- Another feature of the present invention is the use of at least one of two grading rules as provided herein.
- One grading rule referred to herein as applied grading rule, grades a sample garment based on customized body measurement standards retrieved from real data for target consumer group, such as a large database (e.g., SizeUSA).
- Applied grading rules are generally provided bi-directionally. This differs from linear grade rules used as an industry standard, in which grading is predominantly in one direction (as a sizing up) from a very small size (i.e. size 6).
- the sample garment which is generally sized to a fit model from a middle size grouping, is graded up as well as down.
- the applied grading is provided for two sizes up and two sizes down. Other size gradients may be applied, as needed.
- the graded garments are fit again on real fit models, wherein real fit models are identified by body measurements that fall within the customized body measurement standards for the new size groupings.
- a second grading rule is a preferred grading rule that include rules based on product preferences.
- Product preference rules are generally obtained from market research (e.g., surveys, interviews, questionnaires, etc) and include such things as design preferences (sleeve length, pant length, neckline, ease). Preferred fit preferences are often used to adjust the custom body measurement standards for a particular target group and/or body type. Preferably, preferred fit grading rules are used simultaneously with applied grading rules in order to obtain a garment with specific design features.
- a custom fit sample is a garment in which fit specifications for all corresponding fit locations on the sample garment are perfected.
- a custom fit sample is generally provided for after the application of the above grading rule(s) and/or at least one fitting on a real fit model. Ideally, a custom fit sample is provided for each size for a selected target group.
- a custom fit sample is obtained after a back end fitting.
- sample garments (after grading rules and/or fit model alterations are applied) are re-fit on a group of individuals selected from the target group. This group of individuals are not fit models, but individuals from the general target group population.
- a selected consumer group e.g., teen females, "Baby Boomer” women
- identify a set of data for analysis and establish search criteria for the data such as age.
- Research is used to determine product attributes that include: fit and design. Fit product attributes includes fit, ease, sizing, etc.
- Design product attributes include "wearability" features, such as placement of zippers, pocket placement, sleeve lengths, fabrics, styles, colors, pricing, etc.
- brand research may be conducted to identify successful apparel brands, product attributes, and designs sold to the target group.
- New size groupings should lie within industry standard sizings. For example, women size groupings should be comparable to "Missing” industry sizes; teen female size groupings should be comparable to "Junior” industry sizes. Additional criteria such as ethnicity may be used to query the data further in order to identify
- one or more predominant body types are selected and are generally ones that best represent the target group.
- common body types in middle-aged women are average and full tops and straight and curvy bottoms.
- These shapes may exist in any combination, e.g. full/straight, average/straight, full/curvy, average/curvy.
- specific size- shape combinations are selected that will fit the identified body type indicators. This is similar to bra sizing, which is not limited to a "34,” but includes 34A, 34B, 34C, 34D, etc., in order to fit all women with a ribcage measurement that is a 34.
- Body points of measurement are then selected. This may include all or some of those commonly used in the industry.
- Critical body points are those generally identified by the target group, such as through research (focus group, survey, brand research, etc). Critical body points often correspond with preferred fit points and product attributes.
- custom body measurement standards are established at all selected points of measurement for each apparel size and body type. These will be translated into fit specifications. Preferably, this process takes advantage of three- dimensional body scanning data from a large sample of the target population. Each customized body measurement standard should be representative of the target population. Tolerances are set for each customized body measurement standard.
- Real fit models are identified for each apparel size and body type to be offered to the target group. Each real fit model should have appropriate body measurements at all selected body points of measurements as set by the customized body measurement standard for that size and body type. In some instances, real fit models are only required to have appropriate body measurements at critical points of measurement. Three-dimensional body scans may then be applied to the real fit models in order to determine body measurement standards for all other selected body points of measurement.
- a sample garment (with design and appropriate fit specifications) is created for each body type and size. Because the fit of the sample garment is based on the customized body measurement standards, it will include all desired fit points and product attributes if these were included in the assessment of critical points of measurement. Sample garment fit is then checked on an appropriate real fit model and customized body measurement standards may be adjusted to improve the fit of the garment on the real fit model. The real fit model, again, is one selected from the target population.
- body measurement standards for each size (and body-type) in range, based upon above survey results, hi many cases, at least two body types are identified for each size. This is done by first determining relevant body points of measurement as well as secondary body points and unnecessary body points.
- Examples of commonly used body measurement standards are: bust; midriff; waist; high hip; low hip; mid-neck; neck to base; cross shoulder; side shoulder; shoulder slope; cross front (cf); cross back (cb); cf neck to waist; cb neck to waist; bust points around neck; bust point width; armhole; arm length from shoulder; arm length from hips; arm length from cb neck; upper arm length; forearm length; inside arm length; bicep; elbow; wrist; waist to hip; waist to knee; waist to ankle; waist height; hip height; crotch length; crotch to ankle; knee height; ankle height; thigh; knee; calf; ankle; total torso; seat spread; cb neck height; height.
- database results e.g., SizeUSA data
- Customized body size measurements are compared with various industry standards and accepted industry resources.
- Customized body measurement standards are finalized for each new size grouping. Identify real fit models that conform with established customized standards for body measurements and body types. Identification is generally through channels, such as model agencies, newspaper ads, scanned body databases with all appropriate measurements, and survey participants with appropriate measurements, as examples.
- Each potential real fit models must have their body measurements and body type checked, based on the customized standards.
- hand measurements of each real fit model are taken by the same person for consistency.
- Perform competitive fit survey of "preferred fit" for target group May use popular industry garment specifications for survey to determine target populations' preferred garment fits (including cathexis and wearability). Measure or identify specifications of preferred (sample) gamient. Determine preferred ease, whenever possible.
- Examine fit of preferred garments on one or more fit models Establish (modify) customized body measurement standards (finished measurements) by size (and body type, if available) for each preferred garment. Add any minimum ease, where necessary.
- preferred garment specifications customized body measurement standards
- preferred garment specifications are not established for only one size and graded up or down by a standardized percentage, instead, one or more body types for each preferred garment is used and customized specifications for several sizes are obtained. For example, with two body types for a preferred garment, approximately five sizes are finished, such that there are 10 body type-size combinations. Each body type-size combination is graded up one size and graded down one size for total of seven sizes and 14 type-size combinations. Specification sheets are created for each body type-size combination.
- One or more slopers are checked with specifications sheets described above.
- One or more silhouettes, each in at least one size are checked against customized body measurement standards for each size, to satisfy the amount of preferred ease, hi addition, a database that has basic slopers for each preferred garment specification is created (this is based upon the customized body measurement standards and agreed upon minimum ease). Slopers may include as many styles as required (e.g., average top, curvy top, slim skirt, slim pant) and there is one sloper for each body type-size combination.
- a custom fit garment e.g., preferred garment is prepared based on each sloper.
- each custom fit garment is fit on a real fit model to establish slopers for each body type-size combination.
- Database and design will confer on fit.
- Final approval may be determined by the design.
- All slopers and finished specifications are based upon customized body measurement standards and sizes. Necessary adjustments may be made using a real fit model before finalized slopers and specifications sheets. Duplicate slopers maybe created, if required. Slopers are used to prepare blocks with fit tolerances.
- Patterns are created based on above slopers. In many cases, where designs warrant multiple patterns, each pattern will be created for each size (based on specification sheet). Patterns may be made available for any garment and material (e.g., knits, wovens, tops and bottoms). In addition, new specification should be created for machine knits.
- Custom fit garments are cut and sewn in sample fabrications based on created patterns and machine knits will be knit based on created specifications. Custom fit garments will be fit on a real fit model. Adjustments may be made for production. A design team should supervise and approve final custom fit garment, especially any final fittings.
- Focus group, interview, survey, etc., of targeted population maybe conducted. Focus group participants will try on custom fit garments. Participants will be surveyed for comments on styling, value, and fit.
- FIGURES 3-8 represent various additional aspects of the present invention.
- FIGURE 1
- FIGURES 3-8 an embodiment 100 of the present invention is shown. This and other aspects, as referred to FIGURES 3-8 may be carried out by a designer, fit expert, or other individual or group of individuals involved in aspects of fitting apparel.
- 102 describes the step of establishing criteria for a target consumer population.
- the target consumer population may be any group of consumers, especially those not satisfied with the fit and design of apparel currently being offered, such as "Baby Boomer" women within the age range of 35 to 55.
- quantitative consumer research directed at the target consumer group is conducted.
- brand research directed at industry competitors may be conducted, as shown at step 106. Steps for conducting brand research are more fully explained in FIGURE 5. Proceeding to step 108, desired product attributes and process practices for a design of an apparel are identified by the target consumer group.
- At least two predominant body types that exist in the target consumer group are identified.
- a body type is typically the general shape of an individual.
- a number of apparel sizes to offer to the target consumer group is selected. This is generally determined after assessing the range of body sizes for the target group.
- body points of measurement 14 are selected and used in creating the apparel (garment). Body points of measurement 14 may include all or less than all of the body points of measurement 14 commonly used in the industry. In addition, new body points of measurement may be added as determined from reviewing and analyzing the quantitative data provided by the target group.
- critical body points of measurement 34 are determined from reviewing and analyzing step 108.
- customized body measurement standards 12 are established, these may be critical and noncritical or new body points of measurement as identified for each target and body type. Steps for establishing customized body measurement standards 12 are further exemplified in FIGURE 6. At step 120, customized body measurement standards 12 at non-critical body points of measurement 36 are established. Steps for establishing body measurement standards 12 at non-critical body points of measurement 36 are further exemplified FIGURE 7. Finally, at step 122, final fit specifications (e.g., fit and design) for each garment, body type and size are determined, and further illustrated in FIGURE 8.
- final fit specifications e.g., fit and design
- FIGURE 4 illustrates view 200 with several steps that aid in conducting quantitative consumer research directed at the target consumer population in step 104. (See FIGURE 3)
- step 202 there is a determination as to whether or not to use one or more focus groups. If not used, then step 210 is next. If used, then questions are prepared in step 204, including those related to fit product attributes (step 206) and design preferences (step 208).
- the focus group includes members of the target group.
- step 210 a second determination as to whether or not to submit questionnaires to a target consumer group is also made. If not used, then step 218 is next. If questionnaires are used, questions are prepared and submitted (step 212), including questions relating to fit product attributes (step 214) and questions relating to design preferences (step 216). Questionnaires may be distributed to the target consumers in a variety of ways, including person-to-person, by electronic mail and/or by U.S. mail. At step 218, all the above information (from steps 202-216) is collected and analyzed. At step 220, the data, such as fit product attributes and design preferences, are summarized and may be used to identify preferred attributes for step 108.
- FIGURE 5 illustrates view 300 with steps that may be implemented when conducting market or brand research, as shown in step 106 of FIGURE 3.
- Such research may be used to evaluate a number of apparel sources, including competitors and their products.
- sales results of one or more apparel brands sold to the target consumer group are obtained and analyzed.
- successful apparel designs step 306
- product attributes step 308
- step 310 data concerning the design and fit are analyzed. Results of step 310 aid in identifying design, fit and other practices of successful brands and their suppliers and are summarized in step 314 in order to be used, as needed, in step 108 of FIGURE 3.
- FIGURE 6 illustrates view 400 with several steps that may be used to establish customized body measurement standards 12 for step 118 of FIGURE 3.
- an apparel size is selected. This may be performed after analysis of desired fit and product attributes. (See step 108 of FIGURE 3).
- At least one body type identified in step 110 of FIGURE 3 is then selected at step 404.
- three-dimensional body scanning data from a sample of the target population is obtained (e.g., from an apparel related database such as SizeUSA).
- SizeUSA an apparel related database
- tolerances for the customized body measurement standards are also provided.
- step 412 there is a determination as to whether the customized body measurement standards have been established for all apparel sizes and body types. If so, then no further analysis is required. If not, then another apparel size and/or body type is selected and steps 404 through 412 are repeated.
- FIGURE 7 illustrates view 500 and many steps that may be taken to establish body measurement standards non-critical body points of measurement (as used in step 120 of FIGURE 3).
- an apparel size is selected, the apparel size being one selected in step 402 of FIGURE 6.
- At least one body type identified in step 110 of FIGURE 3 is then selected at step 504.
- a fit model is selected.
- the fit model has body measurements that conform with customized body measurement standards.
- the fit model may be an individual selected from the target consumer group.
- a three-dimensional body scan is applied to the fit model to generate measurement data at all selected body points of measurement. Proceeding to step 510, the measurement data is analyzed.
- the fit model's body measurements at each critical body point of measurement is compared to customized body measurement standards.
- the fit model body measurements at each critical body point of measurement is evaluated as to whether it falls within previously set tolerances. If not, another fit model is selected. If so, the fit model selection is complete (step 516).
- step 518 the fit model' s body measurements as determined by the three-dimensional scanning are analyzed. Customized body measurement standards are determined for non-critical body points of measurement (step 520). This process is repeated for all selected apparel sizes, body types and apparel designs for each target group (see step 522, wherein steps 504-522 are repeated). Once step 522 is completed, step 122 of FIGURE 3 may be performed to create final design and fit specifications.
- FIGURE 8 illustrates view 600 and several steps that may provide for final design and fit specifications.
- an item of apparel is selected.
- At least one size is also selected at step 604 as well as at least one body type (step 606).
- step 608 the summary prepared in step 220 of FIGURE 4 is used, when needed, to include design attributes and/or fit attributes (step 610) to the garment. Attributes include ease and design preferences, and specifically at which body points of measurement they are to included. Proceeding to step 612, all customized measurement standards are specified for each garment. At step 614, material is cut and sewn to produce a sample garment that includes all the above specifications. The fit of the sample garment is checked on a real fit model at step 616. This may include how the garment, the way it lays on the model, the hemline, sleeve length, etc. The real fit model may also provide input as to the fit of the sample garment. At step 618 if the fit is satisfactory, the process is complete and a custom fit garment may be created. If not, then step 620 is next.
- step 620 revision(s) to the customized body measurement standards are made at all body points of measurement where the fit is considered unsatisfactory.
- step 622 the sample garment is adjusted at such unsatisfactory body locations based on revised customized body measurement standards. The sample garment is then checked again on a real fit model at step 624. If such a fit is still unsatisfactory (step 626), then steps 620-624 are repeated again until a satisfactory fit achieved.
- the present invention is capable of: satisfying design and fit preferences of one or more target consumer groups using quantitative and qualitative research and analysis directed at each target group; competitive brand research and analysis that take into account fit points and product attributes; identifying body types that exist in each target group; using fit models representative of each target group (e.g., based on size, body type, ethnicity, and age); determining customized body measurement standards for mass- production using fit models as well as three-dimensional body scanning data; providing apparel fit by size, ethnicity, and/or body type based on use of "real" fit models and real body measurements rather than grading rules alone; applying grading rules in combination with real fittings in order to properly adjust garments by size rather then proportionally adjusting garments from a single size; and establishing design and fit specifications for any garment, body type and size based on target group preferences.
- a further advantage of the present invention is that it delivers slopers, blocks (with or without ease), starter patterns, grading rules, customized body measurement standards, written specification, research-driven assortments, manufacturing standards, garment labels, hangtags, product preferences, and consumer-driven preferences for any apparel design and size.
- Deliveries can be based on any target consumer audience or group identified through research and analysis of data (e.g., SizeUSA data), focus groups, market research, surveys, and the like. Likewise, deliveries can be mass produced for large-scale production, apparel manufacturers, and retail use.
- the deliveries apply to any apparel category (e.g., missy, tall, junior, plus etc.), apparel classification (e.g., business wear, casual wear, teen wear, etc.), age group (e.g., children, teen, "baby boomer,” 20-35, etc.), and ethnicity.
- apparel category e.g., missy, tall, junior, plus etc.
- apparel classification e.g., business wear, casual wear, teen wear, etc.
- age group e.g., children, teen, "baby boomer," 20-35, etc.
- ethnicity e.g., ethnicity
Abstract
Description
Claims
Priority Applications (1)
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EP04757837A EP1615513A4 (en) | 2003-03-20 | 2004-03-19 | Systems and methods for improved apparel fit |
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US45630703P | 2003-03-20 | 2003-03-20 | |
US60/456,307 | 2003-03-20 |
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US (1) | US7092782B2 (en) |
EP (1) | EP1615513A4 (en) |
KR (1) | KR20060002830A (en) |
CN (2) | CN101156154A (en) |
HK (1) | HK1207189A1 (en) |
TW (1) | TWI369955B (en) |
WO (1) | WO2004084661A2 (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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Families Citing this family (74)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7242999B2 (en) * | 2001-05-11 | 2007-07-10 | Kenneth Kuk-Kei Wang | Method and apparatus for identifying virtual body profiles |
US7496526B2 (en) * | 2001-06-27 | 2009-02-24 | Razumov Sergey N | Method and system for selling clothes |
US7953648B2 (en) * | 2001-11-26 | 2011-05-31 | Vock Curtis A | System and methods for generating virtual clothing experiences |
US7469218B2 (en) * | 2002-04-12 | 2008-12-23 | Morley Ross G | Method for facilitating ordering of garments |
JP4237601B2 (en) * | 2003-10-15 | 2009-03-11 | 株式会社島精機製作所 | Loop simulation apparatus and method and program thereof |
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US7421306B2 (en) * | 2004-09-16 | 2008-09-02 | Sanghati, Llc | Apparel size service |
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US20070022013A1 (en) * | 2005-03-09 | 2007-01-25 | Tousignant Jodi D | Fitting systems |
US20090234489A1 (en) * | 2005-03-09 | 2009-09-17 | Jodi Healy | Fitting Systems |
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US7617016B2 (en) | 2005-04-27 | 2009-11-10 | Myshape, Inc. | Computer system for rule-based clothing matching and filtering considering fit rules and fashion rules |
US7398133B2 (en) * | 2005-04-27 | 2008-07-08 | Myshape, Inc. | Matching the fit of individual garments to individual consumers |
JP2006311731A (en) * | 2005-04-28 | 2006-11-09 | Seiko Instruments Inc | Electronic circuit |
ES2395956T3 (en) * | 2005-06-10 | 2013-02-18 | Triofit, Inc. | Methods for optimally adjusting garment measurements |
US7310883B1 (en) * | 2005-08-26 | 2007-12-25 | Lee Ann Park | Sizing scheme to improve clothing size accuracy |
WO2007028038A2 (en) * | 2005-09-01 | 2007-03-08 | G & K Services, Inc. | Virtual sizing system and method |
US20070100491A1 (en) * | 2005-10-17 | 2007-05-03 | Cheryl Burrell | Method of selecting optimum clothing style based on individually-assessed body type |
US8370360B2 (en) * | 2005-12-31 | 2013-02-05 | G & G Commerce Ltd. | Merchandise recommending system and method thereof |
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US20090094138A1 (en) * | 2007-10-05 | 2009-04-09 | Stormy Compean Sweitzer | System and method for calculating, tracking, and projecting children's clothing sizes over time |
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US20100076819A1 (en) * | 2008-09-25 | 2010-03-25 | Myshape, Inc. | System and Method for Distilling Data and Feedback From Customers to Identify Fashion Market Information |
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US9792638B2 (en) | 2010-03-29 | 2017-10-17 | Ebay Inc. | Using silhouette images to reduce product selection error in an e-commerce environment |
US8861844B2 (en) | 2010-03-29 | 2014-10-14 | Ebay Inc. | Pre-computing digests for image similarity searching of image-based listings in a network-based publication system |
US20110298897A1 (en) * | 2010-06-08 | 2011-12-08 | Iva Sareen | System and method for 3d virtual try-on of apparel on an avatar |
US10628666B2 (en) | 2010-06-08 | 2020-04-21 | Styku, LLC | Cloud server body scan data system |
US11640672B2 (en) | 2010-06-08 | 2023-05-02 | Styku Llc | Method and system for wireless ultra-low footprint body scanning |
US10628729B2 (en) | 2010-06-08 | 2020-04-21 | Styku, LLC | System and method for body scanning and avatar creation |
US11244223B2 (en) | 2010-06-08 | 2022-02-08 | Iva Sareen | Online garment design and collaboration system and method |
US8412594B2 (en) | 2010-08-28 | 2013-04-02 | Ebay Inc. | Multilevel silhouettes in an online shopping environment |
US20120054059A1 (en) * | 2010-08-28 | 2012-03-01 | Ebay Inc. | Size mapping in an online shopping environment |
US20130227847A1 (en) * | 2010-10-07 | 2013-09-05 | Ellise Peake | Apparel sizing system and method |
US11062377B1 (en) * | 2011-07-25 | 2021-07-13 | Secret Sauce Partners, Inc. | Fit prediction |
JP5256362B1 (en) * | 2012-03-30 | 2013-08-07 | 楽天株式会社 | Information processing apparatus, information processing method, information processing program, and recording medium |
US10366175B2 (en) * | 2013-03-15 | 2019-07-30 | 3D Tech Llc | System and method for automated manufacturing of custom apparel |
US20140379515A1 (en) * | 2013-06-25 | 2014-12-25 | Stantt LLC | Method For Providing A Custom-Like Fit In Ready-To-Wear Apparel |
US10318916B2 (en) | 2013-08-28 | 2019-06-11 | Barbaro Technologies | Apparatus and method of identifying and sizing clothing in an inventory management system |
GB201406539D0 (en) * | 2014-04-11 | 2014-05-28 | Metail Ltd | Garment size recommendation |
CN104207394B (en) * | 2014-08-22 | 2016-02-10 | 老合兴洋服(杭州)有限公司 | The specimen method of the senior customization of clothes |
SG11201700434YA (en) * | 2014-08-25 | 2017-02-27 | Innosparks Pte Ltd | Mask package apparatus integrated with mask sizing ruler |
CN105982381A (en) * | 2015-01-27 | 2016-10-05 | 昌吉市新天彩服饰文化有限责任公司 | Clothes template making system |
CN104951593A (en) * | 2015-05-19 | 2015-09-30 | 安徽东锦服饰有限公司 | Simple measuring and tailoring method easy to implement |
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BR112018068087A8 (en) * | 2016-03-08 | 2023-04-11 | A&At Uk Ltd | METHOD TO IDENTIFY THE IDEAL SIZE OF CLOTHING PIECES AND SYSTEM TO FACILITATE AND/OR IMPROVE SATISFACTION WITH THE SELECTION OF THE SIZE OF A CLOTHING PIECE |
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JP6692415B2 (en) * | 2016-04-22 | 2020-05-13 | 株式会社島精機製作所 | Knitting product grading method and system |
MX2018015886A (en) * | 2016-06-17 | 2019-09-27 | Cricket Lee Alice | Systems and methods for improved apparel fit and apparel distribution. |
CN106294281B (en) * | 2016-07-13 | 2018-09-18 | 戈枫服饰有限公司 | A kind of trousers put a yard method |
CA3032426C (en) | 2016-08-10 | 2020-01-21 | Lymphatech, Inc. | Methods of generating compression garment measurement information for a patient body part or body area of interest and use thereof |
US10251438B2 (en) * | 2016-08-10 | 2019-04-09 | Lymphatech | Methods of generating compression garment measurement information for a patient body part and fitting pre-fabricated compression garments thereto |
US10301828B2 (en) * | 2017-02-28 | 2019-05-28 | Jumpstart Consultants, Inc. | Underlayment material |
US11109627B2 (en) * | 2017-06-02 | 2021-09-07 | Eshakti.Com Pvt Ltd | System and method of pattern-making for mass customized production of apparels |
US11948057B2 (en) * | 2017-06-22 | 2024-04-02 | Iva Sareen | Online garment design and collaboration system and method |
WO2019032982A1 (en) * | 2017-08-11 | 2019-02-14 | North Carolina State University | Devices and methods for extracting body measurements from 2d images |
WO2019182964A1 (en) | 2018-03-17 | 2019-09-26 | Drexel University | Topology optimization for modeling and prediction of complex fabric structures and properties |
US20190350287A1 (en) * | 2018-05-18 | 2019-11-21 | Meghan Litchfield | Method of custom tailoring apparel at scale |
CN112513859A (en) * | 2018-05-30 | 2021-03-16 | 耐克创新有限合伙公司 | Garment production system and method |
KR102179450B1 (en) * | 2018-12-05 | 2020-11-16 | 윤미경 | Template providing device for providing body template for clothing development and control method thereof |
CN110533767A (en) * | 2019-08-15 | 2019-12-03 | 东华大学 | Bulging body men's shirt template parameter optimization method based on three-dimensional garment design |
US10842680B1 (en) | 2019-08-31 | 2020-11-24 | Michael J. Weiler | Methods and systems for fitting compression garments from digital imagery |
CN111679817B (en) * | 2020-06-08 | 2023-10-31 | 秒优大数据科技(杭州)有限公司 | Parameter-adjustable garment process modularization design method |
CN111709486A (en) * | 2020-06-22 | 2020-09-25 | 辽宁轻工职业学院 | Body size measuring method based on clothing design |
US20220053863A1 (en) * | 2020-08-24 | 2022-02-24 | Project My Dress, LLC | Methods and Systems for Improved Manufacturing of Off-The-Rack, Tailored and/or Customized Clothing |
US11859321B2 (en) * | 2021-03-31 | 2024-01-02 | Drexel University | Modular tool for design of self-folding knit fabrics |
CN117881318A (en) * | 2021-08-02 | 2024-04-12 | 安妮·E·库恩 | Custom-fit apparel platemaking system and method |
CN113807708B (en) * | 2021-09-22 | 2024-03-01 | 深圳市微琪思服饰有限公司 | Distributed clothing flexible production manufacturing platform system |
US11700899B1 (en) * | 2022-08-12 | 2023-07-18 | Pari Passu New York, LLC | AI-based system including dress form creation |
CN117078353A (en) * | 2023-09-07 | 2023-11-17 | 波司登羽绒服装有限公司 | Clothing layout generation method and device, electronic equipment and storage medium |
Family Cites Families (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3939565A (en) * | 1969-06-11 | 1976-02-24 | Bush Roberta F | Pattern fitting tool and method of custom fitting patters |
US3979831A (en) * | 1974-11-22 | 1976-09-14 | Lutz Helene P | Method and apparatus for altering clothing patterns |
US4031626A (en) * | 1975-02-20 | 1977-06-28 | Dyal Marjorie M | Method for drafting garment patterns and means for practicing same |
US4114277A (en) * | 1976-08-12 | 1978-09-19 | Chalker Betty B | Method of fitting a garment |
US4149246A (en) * | 1978-06-12 | 1979-04-10 | Goldman Robert N | System for specifying custom garments |
US4546434C1 (en) * | 1979-10-03 | 2002-09-17 | Debbie A Gioello | Method for designing apparel |
HUT60607A (en) * | 1986-08-19 | 1992-10-28 | Horst Forschner | Method for producing wearing apparels carrying out by the user and set for producing such wearing apparels |
US4916634A (en) * | 1988-03-16 | 1990-04-10 | Minnesota Mining And Manufacturing Copany | System for preparing garment pattern data to enable subsequent computerized prealteration |
US4916624A (en) * | 1988-03-16 | 1990-04-10 | Minnesota Mining And Manufacturing Company | Computerized system for prealteration of garment pattern data |
US4926344A (en) * | 1988-03-16 | 1990-05-15 | Minnesota Mining And Manufacturing Company | Data storage structure of garment patterns to enable subsequent computerized prealteration |
US4868990A (en) * | 1988-05-11 | 1989-09-26 | Executive Fit, Inc. | Garment measuring system |
US5163007A (en) * | 1990-11-13 | 1992-11-10 | Halim Slilaty | System for measuring custom garments |
FR2695805B1 (en) * | 1992-09-23 | 1995-01-06 | International Tpc | Method for designing three-dimensional patterns for clothing traps. |
FR2707120B1 (en) * | 1993-07-02 | 1995-09-22 | Lectra Systemes Sa | Clothes grading system. |
US5680528A (en) * | 1994-05-24 | 1997-10-21 | Korszun; Henry A. | Digital dressing room |
US5768135A (en) * | 1994-08-12 | 1998-06-16 | Custom Clothing Technology Corporation | Custom apparel manufacturing apparatus and method |
US5548519A (en) * | 1994-08-12 | 1996-08-20 | Custom Clothing Technology Corporation | Custom apparel manufacturing apparatus and method |
JP3543395B2 (en) * | 1994-11-17 | 2004-07-14 | 株式会社日立製作所 | Service provision and usage |
US5680314A (en) * | 1995-08-25 | 1997-10-21 | Patterson; Douglas R. | Garment sizing system |
US5930769A (en) * | 1996-10-07 | 1999-07-27 | Rose; Andrea | System and method for fashion shopping |
JPH10130929A (en) | 1996-10-24 | 1998-05-19 | New Redei:Kk | Device for producing corrected underwear and its production |
US5956525A (en) * | 1997-08-11 | 1999-09-21 | Minsky; Jacob | Method of measuring body measurements for custom apparel manufacturing |
US6311403B1 (en) | 1998-08-14 | 2001-11-06 | Gennaro J. Macrini | Apparel size calculator |
US6286224B1 (en) | 1999-01-29 | 2001-09-11 | Deanna Lewis | Transportable clothing measuring templates |
US6415199B1 (en) | 1999-02-25 | 2002-07-02 | E-Z Max Apparel Systems, Inc. | Method and apparatus for preparing custom-fitted clothing |
US6353770B1 (en) | 1999-05-26 | 2002-03-05 | Levi Strauss & Co. | Apparatus and method for the remote production of customized clothing |
US6546309B1 (en) * | 2000-06-29 | 2003-04-08 | Kinney & Lange, P.A. | Virtual fitting room |
US6473671B1 (en) | 2000-09-11 | 2002-10-29 | He Yan | 3-D modeling of prototype garments |
US6701207B1 (en) * | 2000-11-02 | 2004-03-02 | Kinney & Lange, P.A. | Method for integrating information relating to apparel fit, apparel sizing and body form variance |
US6665577B2 (en) * | 2000-12-20 | 2003-12-16 | My Virtual Model Inc. | System, method and article of manufacture for automated fit and size predictions |
US6564118B1 (en) * | 2000-12-28 | 2003-05-13 | Priscilla Swab | System for creating customized patterns for apparel |
US20020103566A1 (en) | 2001-01-31 | 2002-08-01 | Gadson Gregory Pierce | Computerized, custom-fit garment pattern production system for automatic garment pattern extrapolation or interpolation based upon changes in indirect body dimension parameters |
US20020188372A1 (en) | 2001-05-10 | 2002-12-12 | Lane Kenneth M. | Method and system for computer aided garment selection |
-
2004
- 2004-03-19 KR KR1020057017552A patent/KR20060002830A/en active IP Right Grant
- 2004-03-19 CN CNA2004800076151A patent/CN101156154A/en active Pending
- 2004-03-19 CN CN201410502745.8A patent/CN104346744A/en active Pending
- 2004-03-19 EP EP04757837A patent/EP1615513A4/en not_active Ceased
- 2004-03-19 US US10/804,853 patent/US7092782B2/en not_active Expired - Lifetime
- 2004-03-19 WO PCT/US2004/008363 patent/WO2004084661A2/en active Application Filing
- 2004-03-22 TW TW093107690A patent/TWI369955B/en not_active IP Right Cessation
-
2015
- 2015-08-11 HK HK15107758.0A patent/HK1207189A1/en unknown
Non-Patent Citations (1)
Title |
---|
See references of EP1615513A4 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102842085A (en) * | 2012-05-23 | 2012-12-26 | 北京酷绅服装有限公司 | Automatic T-shirt size selection method and system |
CN102842091A (en) * | 2012-05-23 | 2012-12-26 | 北京酷绅服装有限公司 | Automatic shirt size selection method and system |
CN102842086A (en) * | 2012-05-23 | 2012-12-26 | 北京酷绅服装有限公司 | Automatic jacket size selection method and system |
CN102855377A (en) * | 2012-05-23 | 2013-01-02 | 北京酷绅服装有限公司 | Method and system for automatically selecting trouser numbers |
ITBO20130109A1 (en) * | 2013-03-13 | 2014-09-14 | I Dea S R L Societa Unipersonale | SYSTEM FOR THE SELECTION OF A PRODUCT. |
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CN104346744A (en) | 2015-02-11 |
WO2004084661A3 (en) | 2007-07-12 |
CN101156154A (en) | 2008-04-02 |
EP1615513A2 (en) | 2006-01-18 |
US20050022708A1 (en) | 2005-02-03 |
US7092782B2 (en) | 2006-08-15 |
EP1615513A4 (en) | 2010-04-07 |
HK1207189A1 (en) | 2016-01-22 |
KR20060002830A (en) | 2006-01-09 |
TW200500019A (en) | 2005-01-01 |
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