The Product
Computer vision precision for shoppers. Demand intelligence for brands. One integration, seven capabilities, compounding value from day one.
What Aitaca Does
Aitaca covers the full sizing loop. From the shopper's first measurement to the brand's buying decisions. Each of the seven capabilities below delivers value on day one and compounds as data accumulates.
Computer vision turns a guided hand photo into a precise ring size recommendation, mapped to each brand's sizing standard.
Learn more →Shoppers measure a ring they already own. For gift buyers and anyone with a known-fit reference.
Learn more →Sizing logic applied per product. Each item or collection follows its own convention, not a brand-wide mapping.
Learn more →The shopper completes sizing and adds to cart directly within the flow.
Learn more →When the ideal size is out of stock, Aitaca suggests the nearest in-stock size. But only when the fit is still right.
Learn more →When the ideal size is unavailable, Aitaca surfaces catalog alternatives that match the shopper's measurement - recovering revenue in-session.
Learn more →Real, anonymised size demand data across the shopper base: measurement distribution, market signals, and shopper behavior.
Learn more →Precise Size Recommendations
A guided hand photo, analysed by computer vision, becomes a ring size recommendation mapped to the brand's sizing system. No charts, no manual measuring.
Built for real conditions: any smartphone and any lighting.
A guided hand photo generates the recommendation.
Results map to the brand's EU, US, UK, or custom size format.
Shoppers only need a standard smartphone camera.
Ring Sizer
Not every shopper measures their own finger. Gift buyers and shoppers with a well-fitting ring can use that ring as the reference instead so no hand photo needed.
Measure a ring the recipient already wears — no hand photo needed.
Use a well-fitting ring as the size reference.
Product-Aware Sizing
Different collections, materials, and product lines often follow different sizing rules. A single catalog-wide chart can't handle that.
Aitaca applies sizing logic per product or collection. Each item has its own size system, fit rules, and tolerance.
Configure each product or collection with its own sizing system. EU, US, UK, or custom.
Recommendations adapt to the specific product, not a catalog-wide mapping.
Embedded Add-to-Cart Flow
Every extra step after sizing is a chance to drop off. Aitaca lets shoppers add the recommended size to cart directly from the widget. No redirects, no backtracking.
Recommendation and add-to-cart happen in the same place.
No extra steps between finding the right size and buying.
With sizing tied directly to add-to-cart, brands can measure exactly how sizing affects conversion.
Stock-Aware Recommendation
When the ideal size is out of stock, Aitaca surfaces the best available alternative but only when fit logic allows it.
This is not a tool to push whatever is in stock. If the nearest available size falls outside acceptable return-risk tolerance, Aitaca won't substitute. A recovered sale isn't worth a costly return.
Fit accuracy is evaluated first; stock is a secondary input. Aitaca only adapts when the outcome stays commercially safe.
If adapting to stock would breach fit tolerance, no substitution happens. Return rates stay protected even when inventory is tight.
When the tradeoff is safe, the shopper is guided to the best available size, converting a session that would otherwise end empty, without lifting return risk.
Alternative Product Recommendations
When the recommended size isn't available for the chosen product, the default outcome is a lost sale at one of the highest-intent moments in the journey.
Aitaca recovers that intent by surfacing catalog alternatives that fit the shopper's recommended size, keeping them inside the brand's experience instead of out the door.
Alternatives are filtered by recommended size, not by style tags or manual curation.
Suggestions surface inside the sizing flow, before the shopper drops off.
Aitaca ties the size recommendation to the brand's catalog, surfacing products that include the shopper's size.
Demand Analytics
Every sizing session is a real measurement. Aggregated, these become a demand map for purchasing, planning, and range decisions. The kind of sizing intelligence that used to exist only in physical retail.
Instead of relying only on sales or returns, brands can see real size demand from shoppers who used the sizing flow.
The real distribution of measured sizes across your shoppers. Direct measurement data, not a proxy from sales or returns.
Which products generate the most sizing uncertainty, which collections drop off most at the sizing step, and where behavior signals a structural fit problem.
Size demand varies by geography. Aitaca surfaces market-level differences so merchandising can make region-specific range and stocking decisions.
Size demand distribution
Size (EU)
Demand by market
Integration & Deployment
Aitaca fits into existing ecommerce stacks. No platform migration, no custom infrastructure, no drawn-out procurement is needed.
Works with major ecommerce platforms and no rebuild required
Embeds in the product page. No redirection or external tools are needed.
No custom server infrastructure on the brand side
Mapped to your exact sizing standard
Technical support throughout implementation
Shopify merchants: native Shopify App, install and go live in minutes
Get Started
Walk through the sizing flow, the analytics layer, and how Aitaca plugs into your stack.