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
Connect Zoovu with our ecommerce platform partners, including SAP, Azure, and Shopware
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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Zoovu’s Data Platform was built to solve these problems. Its product data management platform cleans and enriches data with AI so customers can quickly find products, salespeople can shorten sales cycles, and product managers can stop spending hours in spreadsheets.
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.
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.
Automate expensive manual data management processes to drive efficiency and time savings across your business.
Reduce the time it takes to deliver revenue generating experiences by over 80%.
Launch hundreds of product discovery experiences in a few short weeks and increase conversion rates by more than 28%, like Microsoft did with Zoovu.
Deliver powerful product discovery experiences across every channel and touchpoint
Ensure product descriptions, images, and specifications are accurate and consistent.
Clean and enrich your entire catalog to power search, visual configurators, BOM builders, CPQs, and more. Reduce sales cycles and help customers build complex product bundles with accuracy.
Standardize data from millions of SKUs and across brands so you can enrich filters, product pages, category pages, and more.
Product data management (PDM) in ecommerce involves organizing, storing, and analyzing product data to ensure accurate, accessible, and timely information. It’s key for optimizing product discovery, personalizing customer experiences, and optimizing product detail pages.
The Zoovu Data Platform is the core of Zoovu’s product discovery platform designed to process and enrich product data. It uses AI to understand and categorize product information semantically, improving search relevance and the accuracy of product recommendations.
Data cleansing removes inaccuracies and inconsistencies from product data, crucial for maintaining high-quality, reliable information. It directly impacts SEO, customer experience, and conversion rates by ensuring accurate and searchable product listings.
Yes, the Zoovu Data Platform improves product discovery by using AI to understand and enrich product data, making it more relevant and easily searchable. It enhances the accuracy of search results and recommendations, leading to a better match between customer queries and products.
AI plays a crucial role in processing fragmented data by analyzing and integrating disparate data sources. It identifies patterns, cleanses inaccuracies, and enriches product information, to improve data quality and usability in ecommerce.
Data-driven product discovery tailors search and recommendation systems to individual customer preferences, leading to more relevant and helpful shopping experiences. It reduces search time and increases the likelihood of finding the right product, enhancing customer satisfaction and loyalty.
Key components include data cleansing to ensure accuracy, data standardization for consistency, product enrichment for detailed listings, and leveraging AI for advanced data processing and semantic analysis to improve product discovery and customer experience.
Read about the trends, challenges, strategies being used by top B2B companies to digitally transform the way they sell
