See readiness indicators to learn how site traffic helps to populate the various recommendation types. Product Recommendations is a data-driven system that relies on behavioral data collected from your storefront. For more information about the events described in this article, see storefront events in the developer documentation. As part of a broader eCommerce strategy, AI-powered recommendations can help businesses create more personalized shopping experiences. It looks at what customers search for, what they view, and what they buy.
The capability is designed to work with existing Commerce investments without requiring organizations to redesign their catalog architecture or replace their existing commerce systems. Adobe identifies several outcomes from making structured product information available to AI-powered shopping systems. This gives AI applications additional context to interpret products, connect customer queries with relevant products, and generate recommendations. The information is provided through a machine-readable layer intended for AI crawlers and LLM-powered discovery systems. Adobe Commerce now includes Adobe Catalog Agent, which enriches product detail pages with structured information drawn directly from the Commerce catalog.
- The Product Recommendations service depends on catalog data that stays in sync with your Adobe Commerce environment.
- Some recommendation types rely on shopper behavior collected on the storefront, while others can work from catalog data alone.
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- Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development.
Explore managed Magento hosting built for production workloads. Your server configuration affects load times, uptime during https://best-adobe-commerce-cloud-agencies.com/ traffic spikes, and checkout conversion rates. OpenSearch handles product search (Elasticsearch is deprecated for new installations).
Features
Magento’s store count is declining but enterprise revenue remains stable. Magento requires PHP developers with platform-specific knowledge. Small and mid-sized merchants with simple catalogs find Shopify easier to launch and maintain. Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor with or without any additional cost. If you’re managing multi-tier pricing, customer-specific catalogs, approval workflows and purchase order processing at scale, it handles all of that natively.
Related Guides
If your Commerce installation includes multiple store views, set Scope to the store view where your recommendations apply. Adobe Commerce filters recommendations to avoid displaying duplicate products when multiple recommendation units are deployed on a single page. As you create your recommendation unit, experiment with the page type, recommendation type, and filters to get immediate real-time feedback about the products that will be included.
Librarian Allene Candish, hailing from Aldergrove enjoys watching movies like Outsiders (Ceddo) and Swimming. Took a trip to Laurisilva of Madeira and drives a Sierra 3500.