Bold Metrics

High-Level Overview

Bold Metrics is a San Francisco-based SaaS company specializing in AI-driven body data solutions for the apparel industry. It builds a platform using digital twin technology to capture over 50 body measurements from just 4-6 simple inputs, delivering tailor-level accurate size recommendations, fit personalization, and data insights to boost conversions, reduce returns (by up to 32%), and enhance sustainability.[1][2][3][5][6]

The platform serves e-commerce apparel brands and retailers, solving core problems like high return rates (cited as the top frustration by 94% of shoppers) and poor online fit experiences through tools like Smart Size Chart™, Virtual Sizer™, Apparel Insights™, Virtual Tailor™, and Contactless Fit®.[1][2][3][4][5] With over 200 million digital twins, 10+ billion body data points, and 600+ million fit simulations, Bold Metrics drives growth by enabling data-led decisions in design, marketing, inventory, and operations.[2][3]

Origin Story

Bold Metrics originated from Fashion Metric, initially founded in 2012 (with some sources noting activity ramping up around 2016-2017), focusing on AI for apparel sizing and fit.[1][5][6] Co-founded by CEO Daina Burnes, who earned recognition as Female Entrepreneur of the Year, the company pivoted in 2016-2017 to a full SaaS model as Bold Metrics, headquartered in San Francisco.[5][6]

The idea emerged from recognizing the massive untapped potential in body data to address fit frustrations in online shopping. Burnes and the team built on early expertise in machine learning and 3D body scans, relaunching to scale solutions worldwide. Pivotal moments include launching the Smart Size Chart in 2019, achieving 99% accuracy matching master tailors, rapid 3X year-on-year growth, and powering virtual try-on for brands.[2][6]

Core Differentiators

• AI Digital Twin Technology: Captures detailed 3D body forms instantly without scans, photos, or tapes, using proprietary ML algorithms on the world's largest body scan datasets (200M+ twins, 10B+ data points) for tailor-level accuracy from minimal inputs.[2][3][4][6]
• Proven Business Impact: Reduces returns by 32%, boosts conversions and average order value (AOV), enables personalized experiences, and provides Apparel Insights™ for data-driven decisions across design, supply chain, and marketing.[3][4][5][6]
• Seamless, Scalable Tools: Best-in-class API (Virtual Sizer™), frictionless UX, and versatile applications like in-store Contactless Fit® or custom tailoring, outperforming competitors in independent accuracy studies.[2][3][6]
• Extensive Ecosystem: Supports 600M+ fit simulations, integrates with garment data for style-specific recs, and extends beyond apparel to health, wellness, and insurance.[2][3]

Role in the Broader Tech Landscape

Bold Metrics rides the wave of AI personalization in e-commerce, where fit issues drive 30-40% of apparel returns amid rising online sales and sustainability pressures.[1][5] Timing is ideal as generative AI and vast datasets enable scalable 3D body modeling, addressing market forces like consumer demand for frictionless shopping (94% cite fit as top pain point) and brands' push for data-optimized supply chains.[1][2][4]

It influences the ecosystem by setting the standard for fit tech—formerly Fashion Metric, now with 10+ years of data leadership—empowering brands to cut waste, personalize at scale, and compete with physical retail. Competitors like WAIR or fit collective trail in scale and proven ROI, positioning Bold Metrics as a key enabler in the $1T+ apparel market's shift to AI-driven operations.[1][6]

Quick Take & Future Outlook

Bold Metrics is poised for accelerated expansion as AI body data expands into adjacent sectors like digital health and insurance, leveraging its unmatched dataset for new revenue streams.[2] Trends like multimodal AI, AR try-ons, and sustainability regulations will amplify demand, potentially driving 3X+ growth through global adoption and partnerships.

Its influence will evolve from fit specialist to body data platform leader, supercharging apparel's profitability while shaping ethical AI use in consumer tech—reinforcing its role in redefining how brands meet personalized shopper needs.[3][5]