Friction
High: requires physical materials, manual steps, or printing
Low: one photo, no physical tools required
Results & Validation
Aitaca assesses performance the way sizing solutions should actually be judged: through customer acceptance, repeat consistency, comparative performance and business impact at scale.
Commercial Relevance
Better sizing is not just about measurement quality. It is about what happens to the customer and the business when sizing works well.
A clear, credible recommendation removes the hesitation that causes shoppers to abandon a ring purchase.
Trust in the size recommendation translates directly into the 3-5% conversion uplift seen in live deployments.
Recommendations within the customer's acceptance range mean fewer returns, lower logistics cost and a better first experience.
Returns reduction after Aitaca deployment
Monthly return ratio — example jewelry brand
Comparative Performance
Around 75% of online ring buyers still rely on traditional sizing methods. These methods have real limitations.
High: requires physical materials, manual steps, or printing
Low: one photo, no physical tools required
Disconnected: happens outside the purchase flow
Embedded: sizing and add-to-cart in a single flow
Variable: depends on user execution and materials
Consistent: same measurement logic applied every time
Low: customers often still unsure after completing the method
Higher: clear recommendation with fit context
None: no data captured for the brand
Full analytics: size demand, gaps, distribution by market
No. The entire experience runs directly in the browser, embedded in the product page.
Just a few seconds. Customers take a guided photo and receive a recommendation instantly.
No. It's fully integrated into the product page, so customers stay in the purchase flow.
Integration is simple and designed to be lightweight for your team.
Yes. If your store runs on Shopify, Aitaca can be integrated directly through the Shopify App.
Get Started
Talk to the Aitaca team about a structured pilot, or request detailed study data.