How Fit:match Data Offerings Can Shape Your Business Decisions

March 30, 2023

Breast shape is all that matters in bra design. Volume and tissue density all play a part in defining shape, and unfortunately, a common complaint among bra shoppers is that there is not sizing consistency. Within the same brand, the customer may be a certain band and cup size in one style and a completely different band and cup size in another style.

Unlike other fit technologies, Fit:match addresses this 3D problem with a 3D solution. With our patented 3D mapping algorithms, we help Product Development teams solve fit challenges in more than one way. After completing a LiDAR-enabled 3D scan of a shopper's body shape, we match it back to a digital twin with a similar body shape, meaning we do not rely on body measurements or garment specs.

Due to our ability to quantify shape discrepancy, we can easily identify the most common shapes within each size, and the shapes that are in-between sizes. In short, we match the 3D body shape to the 3D garment shape to assure the best fit possible.

Chart A shows examples of the shape discrepancy values between two individuals. Chart B illustrates how we define and derive through calculation the shapes that are in-between sizes.

A key component of our onboarding process is integrating garments– not tech packs. We integrate at the block level, meaning that if 3 blocks are integrated, we can continue to add iterations of styles derived from that block without doing new fittings or scans. This allows us to offer our brand partners valuable fit data based on block analysis. We can also demonstrate with data how certain design and technical design changes affect sizing, particularly with respect to the range of shapes it can accommodate.

We conducted a shopper survey to determine fit consistency across three blocks.

We surveyed shoppers and compared purchase data to analyze the fit consistency for each block. For example, 83% of the shoppers in Block A who tried on the size 34C bra were the same size in Block C. 60% of shoppers who tried on the size 34C bra were matched with the same cup and band size across Blocks A, B, and C. In delivering this type of data, we are able to assist technical design teams in creating a product line with consistent sizing across styles, allowing the shopper to buy the right size each time.

Reach out to learn more about how Fit:match data offerings can shape your business decisions.

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