The Answer to Fashion's Fit Problem

Shape analysis methods are beginning to revolutionize how the fashion industry approaches sizing and fit, and, by doing so, helping reduce waste and returns. For years, standardized measurements have been the norm, but this method is flawed, due to factors such as outdated biometric data, the insufficiency of measurements to account for individuals’ unique shapes, and many more.

This whitepaper highlights the significance of 3D shape analysis in predicting accurate garment sizing thus increasing consumer confidence and decreasing waste via reducing clothing returns. The paper investigates the overlap in bust and underbust measurements between adjacent cup sizes and band sizes by conducting a case study on 102 participants who took a 3D body scan and tried on the same style of bra to have their sizes confirmed. The findings of the study suggest that a minimum of 89.1% of overlap in measurements can be observed among the adjacent sizes, indicating a great extent of guesswork that is unavoidable to predict sizes solely based on measurements. This paper also presents a method to quantify 3D shape discrepancy in addition to a visual tool to study local shape discrepancy. Both breast volume distribution and breast asymmetry nuances can be sufficiently evaluated using this method.

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To read the full whitepaper, click HERE.

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