AI Product Tagging & Attribute Enrichment

Key Features

AI auto-tagging that reads product images and `description`/`short_description` text to propose relevant tags and category hints

Attribute gap detection that scans EAV attributes per attribute set and flags blank or inconsistent values (color, material, style, size, etc.)

AI-suggested auto-fill for missing attribute values, mapped to your existing attribute options with new-option proposals where needed

Review-before-apply admin grid built on Magento UI components — approve, edit, or reject suggestions in bulk before any write to the catalog

Bulk enrichment across the full catalog via a dedicated cron group and Message Queue (RabbitMQ/db) consumers so the admin never blocks

Taxonomy and synonym suggestions that feed Magento search synonyms and layered-navigation findability

Configurable AI provider, confidence thresholds, and per-attribute rules via `system.xml` configuration with encrypted API-key storage

Store-view and website scope awareness — enrich localized descriptions and attributes per scope through service contracts

REST and GraphQL endpoints exposing enriched tags and attributes for PWA Studio / headless storefronts

Dedicated admin ACL resource and full action logging so every applied change is attributable and auditable

Idempotent processing with sha-based change detection so re-runs don't duplicate tags or overwrite human edits

Compatible with both Adobe Commerce and Magento Open Source (2.4.x), respecting indexers and cache invalidation on apply

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

You order

Start with a one-time build price. We scope it with you at kickoff.

We build & install

ECOSIRE builds, configures and installs it on your Magento 2.

Go live + support

You go live in about 2–4 weeks, with a post-launch support window.

About this Product

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.

What you get

Custom Magento 2 module (`Ecosire_AiProductTagging`) delivered as installable source under `app/code` or via Composer package, with full source-code ownership

Installation and configuration on your staging/dev environment, including `setup:upgrade`, DI compilation, and indexer/cron verification

AI provider integration wired to your chosen vision/text model with encrypted credential storage and rate-limit handling

Attribute mapping and taxonomy configuration tailored to your specific attribute sets and category tree

A piloted enrichment batch run with your team against a sample of real catalog data, plus tuned confidence thresholds

Admin user guide and technical README covering ACL setup, cron groups, queue consumers, and REST/GraphQL endpoints

Post-deployment support window with bug fixes and compatibility patches for your pinned Magento 2.4.x version

Who this is for

Catalog / Merchandising Manager

Owns thousands of SKUs with patchy attribute data. Needs color, material, and style filled consistently so layered navigation and filters actually work — without manually editing every product.

Ecommerce Operations Lead

Onboards large supplier feeds and bulk imports where attributes arrive blank. Wants AI to backfill gaps at import scale, with a human approval gate before anything goes live.

Magento Developer / Technical Lead

Responsible for the platform's stability. Wants a properly architected module (di.xml, service contracts, queues, ACL, GraphQL) that respects indexers and scope — not a brittle script bolted onto the admin.

How AI Product Tagging & Attribute Enrichment Compares

Criterion	ECOSIRE	Custom Build	Competitor
AI tagging from product images and text	Included	Partial support	Partial support
Attribute gap detection + auto-fill across EAV attribute sets	Included	Partial support	Partial support
Review-before-apply approval workflow with admin ACL	Included	Partial support	Partial support
Tailored to your exact attribute mapping and taxonomy	Included	Included	Not included
Bulk enrichment via cron group + Message Queue (no admin blocking)	Included	Partial support	Partial support
REST + GraphQL exposure for headless / PWA Studio	Included	Partial support	Partial support
Installed, piloted, and supported by the builder	Included	Not included	Not included
Full source-code ownership and handover	Included	Included	Not included

Frequently Asked Questions about AI Product Tagging & Attribute Enrichment

How long does delivery take, since this isn't an instant download?

This is a build-to-order engagement, not a Marketplace one-click install. After a short scoping call to confirm your attribute sets, taxonomy, and preferred AI provider, typical delivery is around 2 to 4 weeks depending on catalog complexity and the number of attribute mappings. You receive the module installed on your staging environment first, run a pilot batch with us, then we promote to production.

What ongoing support and updates are included after delivery?

Every build includes a post-deployment support window for bug fixes and compatibility patches against your pinned Magento 2.4.x (Open Source or Adobe Commerce) version. We hand over full source code, so your team can extend it freely. Longer-term maintenance, version upgrades, and new AI provider integrations are available as an ongoing support plan — scoped separately.

Will AI changes overwrite data my team has already curated?

No. Every AI suggestion goes through the review-before-apply grid and is only written after a human approves it. The module uses change detection so re-runs never overwrite values a person edited, and all applied changes are logged and attributable through the admin ACL.

Which AI provider does it use, and can we bring our own?

The AI provider is configurable. We integrate the vision/text model you prefer — your own API account is fully supported, with credentials stored encrypted via Magento's config encryption. This keeps inference cost and data governance under your control rather than routed through a third party.

Does it work with a headless / PWA Studio storefront?

Yes. Enriched tags and attributes are exposed through both REST and GraphQL endpoints, so a PWA Studio or any headless front end can consume the new data the same way it reads native catalog attributes. Enrichment respects store-view and website scope for localized catalogs.