Bold Metrics AI Sizing Solution for Apparel Brands and Retailers

Bold Metrics works from minimal input data, such as height, weight and other optional measurements. Its machine learning model predicts detailed body measurements and fit preferences from those inputs and turns them into size recommendations tailored to the brand’s sizing standards. Recommendations aligned with brand sizing are intended to reduce guesswork. The model keeps learning from customer feedback and returns data to improve accuracy.

Recommendations reach shoppers through an API that brands integrate into their e-commerce or retail systems in real time, which requires integration effort. The API can be embedded into most e-commerce and retail systems. Sizing analytics are intended to help brands reduce returns and optimize inventory, including reducing overstock or stockouts. Customer data is handled under strict data privacy and security protocols in compliance with privacy regulations.

The platform is designed primarily for apparel brands and retailers, with a focus on enterprise-level brands. It also serves inventory managers and customer experience teams, and it is meant to let brands deliver personalized fit experiences at scale. Pricing details are not publicly available; plans are tailored to brand size, integration scope and usage volume.