AI-powered product data enrichment for fashion brands

Clean, consistent product data at scale. Use AI to standardize attributes, fix gaps, and accelerate seasonal launches.
Affidato da oltre 500.000 marchi ecommerce e marketer in tutto il mondo

Standardize attributes across every SKU

Normalize size, fit, material, care instructions, and style details.

Resolve inconsistencies across supplier feeds, existing data, and older collections.

Keep product data structured and aligned to your taxonomy.

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Auto-fill missing details

Populate missing attributes for new products and color or size variants.

Source missing details from vendor portals, internal data, and trusted web references.

Extract materials, colors, and style cues directly from product images.

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Ensure accuracy and compliance

Flag incomplete, contradictory, or noncompliant attributes.

Enforce brand-approved naming conventions and terminology.

Ensure products are categorized correctly with consistent taxonomy alignment.

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Streamline supplier imports

Convert unstructured supplier content into structured product data.

Map disparate formats to your internal schema automatically.

Shorten onboarding time for new collections and new vendors.

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Get product data ready for every channel

Produce complete attribute sets required for marketplace listings.

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

Prevent listing errors, delays, and avoidable rejections.

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Enriched product data that drives performance

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

Faster seasonal launches

With automated enrichment, your new collections get to the site faster. Even when you’re managing large, variant-heavy product lines, you can move from supplier input to ready-for-publishing with far less cleanup and fewer bottlenecks.

Greater data consistency and accuracy

With standardized attributes, your customers get clearer product details, more accurate filters, and more reliable search results. Clean, consistent data improves how shoppers navigate your site and streamlines the work your internal teams rely on every day.

Reduced manual workloads

AI takes care of the repetitive cleanup for you — normalizing terminology, filling gaps, and checking for errors — so your merchandising, ecommerce, and operations teams can stay focused on strategy and creative work instead of fixing data.

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