Compare Bodidata to Volumental head to head on Blurbs

Blurbs comparison of Bodidata and Volumental

Learn about how these Virtual Sizing vendors stack up against each other by checking out our blurbs, claims, and case studies.

Full Blurb

Bodidata

"Offers data-driven size matching solutions for apparel."

Bodidata enhances sizing accuracy for clothing retailers and uniform providers. Its technology focuses on precise body measurements, helping companies match customers with the right size clothing from the start. Digital scanning eliminates fitting room chaos, reducing returns due to sizing errors and cutting down on waste.

Reduce apparel returns drastically

Bodidata claims that their size-matching technology reduces apparel returns by accurately matching size and fit.

Unique scanning capabilities offered

Bodidata claims that Kora 3D Scanner is the only solution that measures body beneath clothing, eliminating inaccuracies.

High fit accuracy achieved

Bodidata claims their solution achieves greater than 90% fit accuracy, improving on traditional recommendations.

Full Blurb

Volumental

"Accurate shoe sizing using advanced 3D scans."

Volumental helps marketers by providing precise shoe size recommendations through foot scans. Their software uses extensive scan data and machine learning to match customers with fitting footwear, enhancing shopper satisfaction and reducing returns. The technology integrates seamlessly across stores and online platforms, optimizing the path to purchase.

accurate footwear recommendations

Volumental claims that its FitTech® suite provides fast, accurate footwear recommendations that match shoppers to shoes that truly fit their feet.

largest 3D foot dataset

Volumental claims that it leverages the world's largest dataset of 3D foot scans to turn data into actionable information for businesses.

real-time 3D foot scanning

Volumental claims that its AI-driven Fit Engine® offers in-store and online sizing by capturing 3D foot measurements in just 5 seconds or through smartphones.