See all Zoovu products and use cases to help enterprise companies sell more online
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
Connect customers with Zoe, a personal product expert powered by AI
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On the Amazon Effect, winning in B2B ecommerce, and the mid-market playbook
Turn product specs into needs-based attributes and use them to build experiences, filters, product pages, and marketing campaigns that make customers want to buy.
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Import product data from PDFs, product pages, PIMs, and other sources to create a single source of truth.
Correct spelling errors, normalize values, and remove unnecessary HTML tags in your product data with a few clicks.
Use AI to automatically tag products with needs-based attributes, like ‘portable’ or ‘budget-friendly’. Segment products by tags, brand, price, and more, then create relations for better cross-selling.
Apply updates to your entire database in a few seconds whenever new products are added or information is updated for existing products.
At the heart of Zoovu’s Data Platform is the Zoovu ontology, a vast knowledge base of category-specific concepts and relationships. The ontology not only understands attributes, how they’re interconnected, and allows you to draw from existing classifications to enhance your data. Whether it's recognizing "stainless steel" as a color or recognizing that trail runners need waterproof shoes, the ontology is your tool for meaningful data enrichment without the manual effort.
Automate expensive manual data management processes to drive efficiency and time savings across your business.
Deliver highly personalized product suggestions, enhancing the shopping experience and fostering customer loyalty.
Launch hundreds of product discovery experiences in weeks and increase conversion rates by more than 28%, like Microsoft did with Zoovu.
Zoovu allows you to train its AI on your product data in different ways so you can guide customers to products that fit them best. Think of it like the world’s best salesperson who reads everything about your products and instantly knows the best way to sell them.
Train the AI with sample product groups so it can automatically classify similar products based on their attributes.
Use AI to look at all your product descriptions and marketing copy to enrich product data with conversational language.
Scrape customer-generated content and use it to train the AI to classify products based on customer preferences.
Use generative AI and LLMs to automatically classify, score, and describe products based on all the data you collect.
Semantic enrichment ensures healthcare products and medical device parts are accurately described compatible.
Semantic enrichment aids customers in understanding technical specs and features, making it simpler to find and choose the right products.
Semantic enrichment organizes products by key details like make, model, and year, making complex configurations for specific requirements easier and accurate.
Semantic enrichment enhances personalization, allowing customers to find products that meet their needs and preferences, from ingredients to benefits.
Semantic enrichment improves navigation and product matching, helping enthusiasts find the gear that suits their activities and performance requirements.
Semantic enrichment offers better search, recommendations, and visual configuration so customers can visualize products in their space more effectively.
The Zoovu Data Platform, a component of Zoovu’s product discovery platform, leverages AI to analyze and understand product data, identifying opportunities for semantic enrichment. It suggests contextually relevant enhancements, ensuring product descriptions are optimized for both search engines and user queries.
Yes, the Zoovu Data Platform can identify inconsistencies, duplicates, and gaps in product data. It helps in cleansing and standardizing data across product catalogs, making information more accurate and search friendly.
To start with Zoovu, you can request a demo or contact their sales team to understand the best solutions for your ecommerce needs. Integration involves setting up your product catalog within Zoovu and using the Zoovu Data Platform for content and data optimization.
Zoovu is designed to be compatible with a wide range of ecommerce platforms. It offers flexible integration options with a single line of code.
Zoovu supports multiple languages, allowing for semantic content enrichment and data standardization across international markets. This ensures that global ecommerce sites can offer localized, relevant content for diverse audiences.
Semantic content enrichment involves enhancing product descriptions and website content with relevant, contextually meaningful information. It helps search engines understand and rank ecommerce content more effectively, improving visibility and user experience.
By incorporating related keywords, synonyms, and thematic phrases, semantic enrichment broadens the scope of search queries your products can appear for, making them discoverable to a wider audience.
Yes, while keyword optimization focuses on incorporating specific target keywords, semantic enrichment involves broadening content with related terms and concepts, providing a more comprehensive context to search engines.
Read about the trends, challenges, strategies being used by top B2B companies to digitally transform the way they sell
