Connect Magento (Adobe Commerce) with Hello Retail to power AI-driven recommendations, onsite search, personalized product blocks, and email personalization that improve product discovery and sales.
• Product, category, and attribute data is exported from Magento (Adobe Commerce) to Hello Retail on a schedule or as deltas, with configurable field mappings for titles, images, prices, stock, and visibility.
• Store views, languages, and currencies are mapped to Hello Retail locales so localized names, URLs, pricing, and availability are handled per storefront context.
• Customer behavior events (product views, searches, add-to-cart, purchases) are captured and forwarded to Hello Retail for model training and personalization logic.
• Hello Retail returns recommendation and search responses over API, and Magento renders them as widgets or blocks on PLPs, PDPs, cart, homepage, and CMS-managed placements.
• Email personalization uses Hello Retail feeds or APIs to populate dynamic product blocks, with product IDs and URLs resolved back to Magento storefront routes.
• Sync jobs validate payloads, log failed records, and retry transient errors, keeping Magento as the source of truth for catalog and order data.
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We map your Magento catalog feed and update cadence so Hello Retail always has fresh product data, including price, stock, categories, and attributes. This keeps recommendations, search, and personalized blocks aligned with what shoppers can actually buy.
Hello Retail typically uses behavioral events such as product views, add-to-cart, purchases, and on-site search queries. We implement or refine the data layer and event tracking so the signals are consistent across storefront and email use cases.
Yes, we can structure feeds and tracking per website, store view, currency, and language, so each market gets relevant rankings and product blocks. This is critical when assortments, pricing, or inventory differ by region.
We set up attribution-friendly tracking for recommendation clicks, revenue, and assisted conversions in GA4 or your BI layer. Our data team has delivered 575+ eCommerce dashboards, so merchandising impact does not get buried in “overall revenue.”
Most timelines depend on feed complexity, tracking gaps, and theme customizations, but the work is usually split into data sync, event tracking, and frontend placements. scandiweb has delivered 2,100+ eCommerce projects, so we can run integration, QA, and release without guesswork.