AI-powered product data enrichment for furniture brands

Enrich every SKU with complete, accurate dimensions, materials, and compliance-ready details. Create consistent, channel-ready product data without manual cleanup.
Trusted by 500,000+ ecommerce brands & marketers globally

Standardize attributes across every SKU

Normalize dimensions, materials, finishes, assembly details, and care instructions for all categories.

Resolve inconsistencies across supplier feeds, legacy collections, and products with multiple variants or configurations.

Keep product data structured and aligned to your taxonomy so your PDPs stay accurate.

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Enrich missing attributes

Populate missing dimensions, material fields, colorways, and configuration options for new items and style variants.

Pull reliable product details from vendor portals, spec sheets, and internal documentation.

Extract materials, textures, finishes, and style cues directly from product images to fill gaps fast.

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Ensure accuracy and compliance

Flag incomplete, contradictory, or noncompliant attributes across your catalog.

Enforce consistent naming conventions for materials, finishes, and product types.

Ensure items are categorized correctly with standardized taxonomy alignment for furniture collections.

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Speed up supplier imports

Convert unstructured spec sheets, PDFs, and vendor uploads into structured product data.

Map varied supplier formats and attribute names to your internal schema automatically.

Shorten onboarding time for new collections and seasonal assortments.

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Prepare channel-ready product data

Produce complete attribute sets required for retail partners, marketplaces, and merchandising surfaces.

Adapt product data to each channel’s formatting rules and attribute expectations.

Avoid listing delays, dimension mismatches, and compliance-related rejections.

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Deliver complete, consistent, and channel-ready product data.

Create stronger product foundations that improve accuracy, discovery, and publishing speed across your entire catalog.

Faster collection launches

With automated enrichment, new items move from supplier files to publish-ready much faster. Your team spends less time fixing data and more time getting new collections live on your site and channels.

Stronger data accuracy across the catalog

Clean, standardized attributes help shoppers understand sizes, materials, and configurations without confusion. Accurate, consistent data also supports better filters, more reliable search results, and fewer returns.

Less manual cleanup

AI handles the repetitive work of normalizing terminology, resolving inconsistencies, and flagging errors early. Less time cleaning up means more time planning new collections, optimizing merchandising, and improving the onsite experience.

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