Catalogs grow faster than the teams that maintain them. Color, material, style, and dozens of other attributes get left blank, tags are inconsistent, and filterable navigation quietly breaks because the underlying data was never filled in. AI Product Tagging & Attribute Enrichment is a Magento 2 / Adobe Commerce extension that ECOSIRE builds, installs, and supports for your store to close those gaps automatically.

The module ships as a proper module under app/code/Ecosire/AiProductTagging, registered via module.xml and wired through di.xml. It calls a configurable AI vision/text provider to analyze each product's images and description/short_description, then proposes EAV attribute values and tags. Nothing is written silently: every suggestion lands in a review-before-apply admin grid (built on standard UI components and protected by its own ACL resource under Stores > Configuration) where your catalog team approves, edits, or rejects in bulk before changes touch catalog_product_entity.

Enrichment runs through Magento's service contracts and ProductRepositoryInterface, respects store-view scope, and processes large catalogs through a dedicated cron group and Message Queue consumer so the admin never blocks. Approved attribute values, tag relationships, and taxonomy/synonym suggestions are exposed to your storefront, search, and headless front end through both REST and GraphQL endpoints.

Because this is build-to-order, ECOSIRE tailors the attribute mapping, AI provider, confidence thresholds, and approval rules to your exact attribute set and taxonomy — then deploys it to your environment, runs a pilot enrichment batch with you, and supports it. This is not an instant Adobe Commerce Marketplace download; it is a scoped engagement with a defined delivery lead time, source code handover, and a support window.