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
See all industries
Webinars, case studies, white papers and more.
In-depth conversations with ecommerce leaders.
See what customers are saying about Zoovu.
Interesting information and inspirations.
Catch the latest news and updates about Zoovu.
FEATURED REPORT
2026 Industrial Ecommerce & Digital Selling Benchmark Report
Whether you manage hundreds of SKUs or millions, Zoovu’s AI site search helps your customers find exactly what they need, quickly.
The world's biggest B2C and B2B brands use Zoovu to drive ecommerce success
90% of people struggle to find products using the search engines built into legacy ecommerce platforms.
→ The result Customers find the right products faster, frustration disappears, and you recover sales previously lost to broken search experiences.
Search tools from Shopify, Magento, and WooCommerce often return too many irrelevant results or none at all, leaving shoppers confused and ready to abandon.
Zoovu bridges the gap between how customers search and how you describe your products, interpreting nuanced queries with accuracy.
Swap generic, keyword-driven search for a platform that knows what your customers need, no matter what words they use.
Show the most relevant products with AI-powered search that understands the intent of every query.
Whether it’s trending items or niche requests, our search engine guarantees customers find exactly what they want.
From products to support articles, Zoovu makes all your content accessible.
Offer personalized product suggestions and promotions that resonate with customers at the perfect moment.
Ensure customers quickly find and purchase what they’re looking for with search that:
Deliver relevant product suggestions and promotions to new or returning customers with:
Optimize the search experience with interactive post-search experiences that guide customers to the perfect match, including:
Zoovu's search understands the relationships between your product attributes and customer intent to deliver accurate, context-specific results.
Zoovu’s large language model (LLM) interprets complex customer queries, translating vague or subjective terms into precise, relevant results.
Help customers filter results by needs-based categories instead of confusing and irrelevant terms.
Suggest relevant queries and popular items as customers type to help customers discover products faster.
Collect, clean, and enrich your product data with AI to turn it into a search experience your customers will love
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.
Understand what your customers really want with semantic searches powered by natural language processing and machine learning.
Push search updates in minutes, not days. Set rules to highlight high-margin products and boost revenue effortlessly.
Integrate additional sales and product data to view your ecommerce operations comprehensively.
Prevent zero-result queries from driving away customers. Query categorization helps you optimize underperforming categories without manual work.
Turn more visitors into customers with effective search.
Speed up searches with instant suggestions.
Streamline navigation and reduce friction.
Tailor results to match customer intent.
Boost sales with targeted suggestions.
Gain insights to refine search performance.
Understand complex customer queries.
Deliver contextually relevant results.
Fine-tune search to maximize conversions.
Make complex product searches simple and adaptable.
Learn more
Easily customize search results to improve ecommerce conversions.
Update category pages in real-time to drive more clicks and conversions.
Accurate search results with AI and ontology.
Understand what your customers need, no matter what words they use.
Find your exact product in seconds.
Customize and optimize search results for better conversion rates.
Allow customers to compare up to four products directly from search results.
Create personalized product filters in real-time to turn more searches into sales.
Zoovu integrates with Salesforce, SAP, and any CMS, CRM, ERP, or PIM to keep enriched attributes consistent across systems.
Zoovu ensures 99.9%+ uptime with our high-availability infrastructure.
We handle user data with care, keeping it confidential and secure through strict agreements.
We meet SOC 2, GDPR, ADA, CCPA, and ISO 27001 standards to keep your data secure and compliant.
B2C site search focuses on helping customers discover products they might want, often using NLP and AI to understand vague or broad queries. B2B site search, on the other hand, helps customers who usually know exactly what they need but need help finding it. For B2B, an ontology-based approach is more effective, as it understands the complex relationships between specific products, parts, and industry terminology.
B2C customers often start with vague ideas of what they want, such as “summer shoes” or “outdoor furniture.” NLP and AI help by interpreting these broad queries, offering relevant suggestions, and guiding customers toward products they might not have initially considered, enhancing the discovery process.
B2B customers typically have precise needs, like finding a specific part number or component. An ontology-based search understands and organizes information according to a structured framework, making navigating complex product catalogs easier and delivering highly relevant, context-specific results.
In B2C, the search experience is about exploration and discovery, where customers enjoy browsing and finding products they didn’t initially think of. In B2B, the search experience is more about efficiency and accuracy, helping customers quickly locate the item they need within a vast and complex catalog.
While there are overlaps, the strategies are generally tailored to different goals. B2C search strategies like AI-driven recommendations can inspire B2B improvements, but B2B’s focus on precision and ontology might not translate as effectively to the exploratory nature of B2C searches. Each approach is optimized for its specific user base.
B2C search development often emphasizes user-friendly interfaces, personalized recommendations, and dynamic content. B2B search development focuses on integrating deep product knowledge and industry-specific terminology and ensuring that search results are highly relevant to complex and specific queries.
A hybrid model might benefit from combining elements of both approaches. NLP and AI can enhance product discovery for less experienced users, while an ontology-based system ensures that professional buyers with specific needs can quickly find what they’re looking for. Balancing both can create a versatile search experience that caters to all customer segments.
See how 150 B2B product journeys reveal what’s broken in digital buying, and how leaders are fixing it.
