Rather than relying exclusively on brand comparison and digital twins, our machine-learning solution leverages over a decade of deep body modeling expertise and data, production size charts, and the industry's largest collection of retail sales and returns records to produce accurate size recommendations.

Advanced machine learning is used to compute the similarities between shoppers’ real bodies, their actual preferences, and the retailer’s products. Based on purchase and return behavior, our algorithms calculate and recommend the size the individual Fit Finder user will most likely keep. Fed by an ongoing closed feedback loop between recommendations and return behavior, our models continuously learn and refine themselves, ensuring high-quality, stable, accurate results.