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Clean, standardize, and enrich product data to make it more discoverable
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Create AI search experiences for ultra-relevant results
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Launch product configurators to bundle, cross-sell, and collect more leads
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FEATURED REPORT
The 2025 State of Ecommerce Search Report
Transform your scattered product information into searchable attributes to enhance filters and search relevance. Help customers quickly find and purchase exactly what they need.
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Zoovu’s AI-powered Data Platform extracts key product details from features, descriptions, and reviews—accurately tagging and assigning attributes so customers can search, filter, and discover exactly what they want.
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 feedback.
Use generative AI and LLMs to automatically classify, score, and describe products based on all the data you collect.
Zoovu’s ontology powers smart data enrichment by understanding attributes, their relationships, and existing classifications—automating insights like “stainless steel” as a color or trail runners needing waterproof shoes.
Collect, clean, and enrich your product data with AI to turn it into a search experience your customers will love
Automate the process of enhancing product features, reducing manual work and mistakes.
Quickly add advanced search filters and attributes, improving customer experience faster.
Zoovu's platform scales with your product catalog, ensuring consistent enhancements as you expand.
Improve customer experience with precise filters and search options, increasing satisfaction and sales.
Standardize product features, making it easier for retailers and customers to find and choose products.
Combine different product data into unified search options, improving discoverability across various sellers.
Integrate Zoovu with Salesforce, SAP, and any ecommerce platform, CMS, CRM, ERP, or PIM.
Semantic content enrichment in ecommerce search involves improving product data with contextually meaningful information. This process helps website search engines to better understand and interpret customer queries, matching them with the most relevant products. By enriching product descriptions and attributes semantically, it improves search relevance, product discoverability, and the overall user experience.
Product Data Management for ecommerce search involves organizing, storing, and enhancing product information to ensure it is accurate and readable for search systems. Effective data management is crucial for enriching search capabilities, allowing customers to find products easily through search relevance and detailed product attributes.
Zoovu’s Data Platform is the core of its Discovery Platform, specifically designed to process and enrich product data for ecommerce search. It uses AI to semantically understand and categorize product information, automatically tagging and assigning product attributes, improving the accuracy of search results and product recommendations.
Data cleansing eliminates inaccuracies and inconsistencies in product data that can hinder search performance. By ensuring that product information is accurate and standardized, data cleansing improves search relevance, product discoverability, and leads to a better customer experience.
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