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Clean, standardize, and enrich product data to make it more discoverable
Integrate with ERPs, PIMs, CRMs, and any other system you use
Create AI search experiences for ultra-relevant results
Build digital assistants that give personalized product recommendations
Launch product configurators to bundle, cross-sell, and collect more leads
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FEATURED REPORT
2026 Industrial Ecommerce & Digital Selling Benchmark Report
Every product needs more than a name or SKU. Automated product attribute enrichment transforms raw, fragmented specs into structured data that customers and AI search engines can read and understand.
The product attribution platform trusted by global brands
Einhell increased sales by 60% in 3 months
Canon drove a 53% increase in conversion rate
Microsoft saw 25% growth in conversion performance
The real challenge is ensuring customers can seamlessly discover, compare, and buy the right products. For large ecommerce brands with thousands of SKUs, managing product attributes manually is unsustainable. It’s slow, inconsistent, and prone to human error.
Zoovu automates product attribute creation and enrichment.
The Zoovu Data Platform ingests, cleanses, enriches, and syndicates product data at any scale—transforming raw specs into attributes that power discovery, SEO, GEO, and personalization.
With Zoovu, automated attribute enrichment doesn’t just make products searchable—it creates structured product data that fuels search, category pages, and guided discovery.
Populate dynamic filters like size, material, or use case to make browsing intuitive.
Translate how customers describe products into enriched attributes that align with intent.
Enrich every SKU with semantic attributes to reduce no-match queries and increase conversions.
Zoovu’s Data Platform leverages an industry-leading product ontology that blends natural language understanding with AI classifiers trained on features, descriptions, customer reviews, and proprietary LLMs.
of buyers found Zoovu’s GenAI advisor helpful
Based on 3.38M+ interactions
Group products by shared attributes like color, material, or performance to ensure consistency.
Convert technical specs into customer-friendly attributes that improve product filters and PDPs.
Extract real-world use cases from reviews to enrich product attributes with buyer language.
Leverage LLMs to dynamically generate missing attributes and keep catalogs complete and up to date.
Manual enrichment is slow, inefficient, and error-prone. Zoovu automates this workflow so ecommerce teams can focus on growth instead of data cleanup.
Without enriched attributes, products become invisible to shoppers. Reduce buying friction by making attributes the foundation of discovery.
Whether your catalog has 100 or 100,000 SKUs, Zoovu scales enrichment to deliver personalization at every touchpoint.
Keeping catalogs accurate and current no longer requires manual updates. Zoovu streamlines enrichment with automated pipelines.
Create attributes and values directly from product specs.
Enrich your product catalog with AI-driven attributes that reflect customer needs.
Organize and enrich catalogs with structured attributes.
Link attributes to show compatible and related products.
Enable side-by-side comparisons based on enriched specifications.
Zoovu integrates with Salesforce, SAP, and any CMS, CRM, ERP, or PIM to keep enriched attributes consistent across systems.
Deliver precise filters and richer product detail for better customer experiences.
Standardize product attributes across channels, reducing errors.
Unify product attributes across sellers to improve discoverability.
Bring order to fragmented Excels, PDFs, and spec sheets with centralized, structured attributes.
Product data cleansing
Add contextual meaning to specs by turning them into customer-friendly attributes.
Product enrichment
Distribute enriched attributes consistently across all channels to maximize impact.
Product data syndication
Ensure attributes are expressed in everyday language that resonates with shoppers.
Semantic content enrichment
AI-driven attribute automation extracts, normalizes, and enriches product data to make it searchable, comparable, and discoverable.
AI analyzes descriptions, images, and customer feedback to generate structured attributes that reflect real-world use cases and customer intent.
Yes. Zoovu is designed to scale across millions of SKUs, maintaining accuracy and enrichment across global catalogs.
Zoovu combines AI enrichment with a proprietary ontology, ensuring attributes are consistent, contextual, and optimized for search, discovery, and SEO.
Structured attributes create stronger metadata and schema, improving visibility in search engines and marketplaces.
See how 150 B2B product journeys reveal what’s broken in digital buying, and how leaders are fixing it.
