Automated Product Tagging For Ecommerce

Use AI to automatically tag millions of products needs-based attributes

Zoovu’s automatic product tagging system transforms chaotic catalogs into data that can be used to build site search, product finders, and product pages that convert better.

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 remove manual work

The ecommerce data platform trusted by industry leaders

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Driving traffic to your website is just the beginning

The real challenge is creating a seamless search and discovery experience that guides customers to the right products.

For large ecommerce brands, managing catalogs with millions of SKUs manually tagging products is unsustainable. It’s slow, inconsistent, and prone to human error.

Zoovu automates this process with precision.

The Zoovu Data Platform ingests, cleanses, enriches, and syndicates your product data at any scale.

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Shoppers abandon sites when they can’t find
what they’re looking for

With Zoovu, auto-tagging doesn’t just ensure products are accurately labeled—it powers your search and discovery experience.

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Expand faceted search filters

Populate dynamic filters like size, material, or style, making search more intuitive.

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Bridge the gap between how customers describe products and how they're tagged.

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Tag every product with semantic attributes to reduce no-match queries and improve conversion rates.

How Zoovu’s AI-based product tagging works

Zoovu’s Data Platform leverages an industry-leading product ontology that blends NLU with product classifiers based on features,
descriptions, customer reviews, and proprietary LLMs.

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Feature-based classification

Train AI to recognize and group similar products based on shared attributes like color, material, or functionality. This eliminates inconsistencies and ensures a uniform tagging approach.

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Use AI to analyze product descriptions and create conversational, customer-friendly language to your tags. This makes your search filters more relatable and intuitive for customers.

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Use customer feedback to refine product attributes. By analyzing reviews, Zoovu’s AI captures real-world use cases and nuances, enriching your product data.

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Zoovu leverages large language models (LLMs) to generate and classify tags dynamically. This ensures your catalog is always up-to-date with complete and accurate metadata.

Transform manual product tagging processes with automation

Manual product tagging is slow, inefficient, and prone to human error—but an AI-based tagging system automates this tedious workflow. It helps your ecommerce team spend less time inputting data and more time turning it into profitable experiences.

  • Generate descriptive tags for each item in your product catalog.
  • Ensure accurate product data by identifying material, dimensions, and compatibility attributes.
  • Focus on strategic growth rather than mundane tasks.
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Product discovery drives sales

Without effective product enrichment through tagging and attributes, your products become invisible to shoppers online. Reduce buying friction by ensuring products are easily found in your store.

  • Improve your site search results by linking products to relevant search terms and queries.
  • Improve SEO by optimizing product categories, metadata, and tags for search engines and marketplaces.
  • Expand merchandising strategies by offering contextual cross-selling and upselling opportunities for relevant products.
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Enterprise-grade personalization

Whether you have 100 or 100,000 products, Zoovu’s platform scales with your business. Automated product enrichment enhances product data quality, ensuring consistent, accurate, and detailed information that drives personalized customer experiences and improves product discoverability across channels.
  • Automate context-aware product recommendations based on unique attributes like specs, use case, or feature.
  • Generate dynamic landing pages and product lists tailored to each shopper’s preferences and behavior.
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Make catalog management effortless

Maintaining a large product catalog used to require constant updates to handle new inventory, promotions, and seasonal changes. Zoovu’s AI-based data management systems streamline these processes by creating seamless pipelines within your systems.
  • Real-time updates to product tags ensures your catalog reflects current trends and customer needs.
  • Automated taxonomy creation categorizes and sub-categorizes products for easier navigation.
  • Integration with leading ecommerce platforms like ERPs, and PIMS make onboarding simple.
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Semantic enrichment

Create custom attributes and values using existing product specifications.

Manage catalogs

Organize your products into custom sets to meet specific needs.

Product relations

Create relationships between products to showcase related and compatible items in search results or on product pages.

Classifiers

Enrich your product catalog with AI-driven attributes that reflect customer needs.

Comparison groups

Enable side-by-side comparison of product specifications and features.

Catalog management

Organize, update, and optimize product data for seamless discovery and inventory control.

Powerful Integration. Seamless Experience.

Integrate Zoovu with Salesforce, SAP, and any other CMS, CRM, ERP, or PIM.

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Designed for your ecommerce team

Zoovu's search enrichment tools are built for ecommerce

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Retailers

Improve customer experience with precise filters and search options, increasing satisfaction and sales.

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Standardize product features, making it easier for retailers and customers to find and choose products.

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Marketplaces

Combine different product data into unified search options, improving discoverability across various sellers.

Product data cleansing

Between Excels, PDFs, product pages, and intricate technical spreadsheets — it's time to bring order to chaos.

Experience how centralized, clean product data not only boosts your product's visibility but also sharpens the insights that impact your strategic decisions, driving revenue higher.

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Product data enrichment

Say goodbye to siloed and unstructured data.

Cleanse, enrich, and add contextual meaning to your product data at the click of a button.

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Product data syndication

You're not just distributing information; you're amplifying the impact of your sales across your omnichannel ecosystem.

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Semantic content enrichment

Future-proof your customer-centric product discovery experiences to speak in a way customers can easily understand and buy from.

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Frequently asked questions

Automated product tagging uses AI to assign attributes and metadata to products, making it easier for customers to find them via search and filters.

AI automates the tagging process by analyzing product images, descriptions, and customer reviews. It uses algorithms, machine learning, and natural language understanding to generate accurate, descriptive tags.

Yes! Zoovu’s platform is designed to scale with your business, efficiently managing catalogs of any size.

Trusted by leaders like Microsoft and Logitech, Zoovu stands out with its proprietary product ontology, advanced NLU systems, and AI classifiers. It delivers precise, scalable tagging and seamless integration across platforms.

Automated tagging ensures consistent and enriched metadata, helping search engines better understand your product catalog and boosting your site’s visibility and rankings.

Better data, experiences, and intelligence drive better
outcomes every time.

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