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Anomalie Leverages Data To Help Brides Create The Dress Of Their Dreams

Anomalie, a made-to-order e-Commerce bridal retailer, has launched a revamped DressBuilder platform that lets shoppers create sketches of their ideal dress in minutes. DressBuilder includes four billion permutations for possible wedding dresses, created by leveraging the collective knowledge of expert dressmakers, stylists, technical designers and data scientists. Dresses come in any size (from 00 through 30+) or shape (including petite, curvy, athletic or tall).

Customers answer a few simple questions to create the sketch, schedule a call with an Anomalie stylist to finalize the design and receive sample fabric in the mail to ensure their order is exactly what they’re looking for.

The updated platform includes an overhauled survey, design dashboard and dress page, as well as new editing features and tools to help meet the shoppers’ perfect vision. The new dress page offers status updates, visuals, specific lace and fabric selections, measurements, and final sketches to give brides a behind-the-scenes look at how their dress is being prepared, along with more communication points with stylists.

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The stylists themselves also have been given an updated dashboard with new sketch tools, which lets them create more efficient blueprints for each dress. Anomalie’s goal is to combine its data-backed technology with a vertically integrated supply chain to minimize pain points for its customers.

“I started Anomalie out of my own frustration with boutique shopping,” said Leslie Voorhees Means, co-founder and CEO of Anomalie in a statement. “Brides deserve to have their dream wedding dress and shouldn’t feel left out of the wedding dress shopping experience because of body size or shape, price range, or style preferences. We’re unlocking a better experience for brides by streamlining the wedding dress design and shopping journey, truly giving brides the inspiration, tools, support, and nearly unlimited options they need to create their perfect dress.”

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