From Static Inputs to Dynamic AI: How Acne Studios Improved Sizing

Acne Studios, a leading Stockholm-based fashion house, faced challenges with low user engagement and inaccurate sizing recommendations using a traditional input-based solution. Customers were required to provide height, weight, and age, but many found this process invasive and unreliable, leading to increased returns and dissatisfaction.

In partnership with Secret Sauce Partners, Acne Studios launched Fit Predictor, an AI-powered sizing solution that uses behavioral data to provide dynamic, accurate recommendations across their entire product catalog.

See how Fit Predictor transformed Acne Studios' sizing approach, leading to a 9% reduction in returns and a 33% increase in Average Order Value (AOV), all while enhancing the customer experience with a seamless, frictionless shopping journey.

Read the case study now to discover the full story!

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Fit Predictor finds a customer’s best fit in seconds by leveraging and augmenting retailers’ data. For new customers without a shopping history, the Fit Predictor service predicts the best fit based on the customer’s size in other brands as well as other shopping behavior. Fit Predictor is currently being used by over 100 million unique shoppers per month across global markets. Learn More