Bodygram is an information retrieval system that uses a smartphone-based scanning process to give businesses accurate body measurements. It takes two photos and some user input to generate measurements, posture angles and a 3D avatar that can be easily integrated with well-documented APIs and no-code solutions. It follows the ISO 8559 standard and is fast to scan. It's already in use in mattress customization and health insurance, among other areas, and offers a free tier and an Enterprise Plan for heavy usage.
Another option is Body Scan from Zing, which generates personalized workouts based on body data from a full-body selfie. The AI-based fitness tool offers detailed information on body fat percentages, daily caloric needs and fitness plans based on the user's goals. The platform is designed to protect privacy and security while offering practical fitness advice without a gym membership or personal trainer.
For e-commerce sites, Fit Analytics offers a machine learning-based system to give apparel retailers personalized size advice. It can be easily integrated with e-commerce sites and uses customer body measurements, purchase history and return data to ensure the right size is ordered the first time. It's been used to improve conversion and return rates for brands like ASOS, Zara and Tommy Hilfiger.