Add Sizebay to your Magento (Adobe Commerce) store to show size recommendations and virtual try-on on PDPs, using product-level fit data to increase purchase confidence and reduce return risk.
• Sizebay widgets are rendered on Magento PDPs via frontend blocks/components, with product context (SKU, product ID, category, and attributes) passed to Sizebay services for calculation.
• Product-level sizing inputs (for example, size chart references, fit notes, measurement tables, and size ranges) are mapped from Magento attributes to the corresponding Sizebay model fields.
• Store views and locale-specific values are mapped so Sizebay content and labels resolve per Magento store view, including language and unit conventions where applicable.
• Customer responses in the Sizebay flow are processed by Sizebay, and the resulting recommended size and messaging are returned to the PDP session for display.
• Event tracking hooks send key interactions (open, complete, recommend, and virtual try-on view) to analytics endpoints, with SKU and store view identifiers attached.
• Error handling routes missing or invalid sizing mappings to logged fallbacks (for example, hiding the widget or displaying a default size guide), keeping PDP rendering stable.
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We implement the Sizebay widget and connect it to your Magento product attributes so the experience shows directly on PDPs. Placement, styling, and tracking are handled to match your theme and UX patterns.
Sizebay needs consistent product-level sizing inputs such as size scales, measurements, and fit rules mapped to your catalog structure. We help define the attribute mapping and validation so recommendations stay accurate as the catalog grows.
Yes, Sizebay logic can be aligned to brand- and category-specific fit behavior, and applied across store views where needed. We implement configurations that keep sizing consistent while still allowing local differences when required.
We set up events for widget opens, recommendations shown, and size selections via GTM and your data layer, then report the lift on add-to-cart, conversion rate, and returns proxies. scandiweb has delivered 575+ eCommerce BI dashboards, so the reporting is built for decision-making, not screenshots.
Third-party scripts can add latency, so we audit load order, defer where possible, and test impact on LCP and INP on real devices. If performance is already tight, we prioritize PDP speed work first, since that page carries the sizing experience.