Bold Metrics was tapped as a subject matter expert on body data in an insightful article from Sourcing Journal. This collaboration underscores our commitment to leveraging data-driven approaches to provide valuable insights into consumer body sizes and explores the impact of Ozempic on body composition from 2021 to 2024.
At Bold Metrics, we harness our advanced AI-driven digital twin technology to create a unique digital twin for each shopper. This enables us to map over 50 individual body measurements, ensuring precise size recommendations. we analyzed over 18 million people in our extensive data set to examine key body measurements and body composition metrics key body measurements and body composition metrics, including BMI, waist-to-hip ratio (WHR), and waist circumference for both men and women. This in-depth study aimed to identify any significant shifts in body sizes attributable to Ozempic usage.
Our analysis reveals that there have not been noticeable changes in body sizes due to Ozempic usage. This study underscores the critical role of data-driven approaches in assessing health interventions and offers valuable insights into how these medications are influencing consumer body sizes.
These findings have important implications for both retailers and healthcare providers:
At Bold Metrics, our digital twin technology goes beyond traditional body metrics, uncovering unique insights across 50+ body data points. This capability allows us to provide highly accurate body data and insightful analysis, which are instrumental in driving informed decisions for apparel brands and beyond.
We invite you to delve deeper into our findings and explore how Bold Metrics' expertise in body data can benefit your organization. Our digital twin technology not only revolutionizes the apparel industry but also provides valuable insights for healthcare studies related to body metrics and overall health.
Read the full article on Sourcing Journal to learn more about our detailed analysis and its implications for the apparel industry and beyond.