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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.
The ecommerce data platform trusted by industry leaders
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, auto-tagging doesn’t just ensure products are accurately labeled—it powers your search and discovery experience.
Populate dynamic filters like size, material, or style, making search more intuitive.
Bridge the gap between how customers describe products and how they're tagged.
Tag every product with semantic attributes to reduce no-match queries and improve conversion rates.
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.
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.
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.
Use customer feedback to refine product attributes. By analyzing reviews, Zoovu’s AI captures real-world use cases and nuances, enriching your product data.
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.
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.
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.
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.
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.
Create custom attributes and values using existing product specifications.
Organize your products into custom sets to meet specific needs.
Create relationships between products to showcase related and compatible items in search results or on product pages.
Enrich your product catalog with AI-driven attributes that reflect customer needs.
Enable side-by-side comparison of product specifications and features.
Organize, update, and optimize product data for seamless discovery and inventory control.
Zoovu integrates with Salesforce, SAP, and any CMS, CRM, ERP, or PIM to keep enriched attributes consistent across systems.
Zoovu's search enrichment tools are built for ecommerce
Improve customer experience with precise filters and search options, increasing satisfaction and sales.
Standardize product attributes across channels, reducing errors.
Combine different product data into unified search options, improving discoverability across various sellers.
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.
Product data cleansing
Say goodbye to siloed and unstructured data.
Cleanse, enrich, and add contextual meaning to your product data at the click of a button.
Product enrichment
You're not just distributing information; you're amplifying the impact of your sales across your omnichannel ecosystem.
Product data syndication
Future-proof your customer-centric product discovery experiences to speak in a way customers can easily understand and buy from.
Semantic content enrichment
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.
See how 150 B2B product journeys reveal what’s broken in digital buying, and how leaders are fixing it.
