Your AI advisor, here to make confident buying effortless
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Zoovu's AI search helps your customers find everything they need, from replacement parts to fully compatible products, so you can get more leads and close more deals.
The ecommerce data platform trusted by industry leaders
Make search easy and scale your B2B businesses profitability.
→ The result Customers find what they need faster, and your B2B business becomes more profitable as every search delivers accurate, actionable results.
Traditional search tools return too many results, no results, or irrelevant results because they can’t interpret what buyers actually need.
Zoovu bridges the gap between how you describe your products and how customers search for them, ensuring every query leads to the right results.
Whether buyers need replacement parts, specialized tools, or new components, AI search guides them quickly to the items that match their requirements.
Make it effortless for customers to find and purchase the products they need with
Provide customers with guides and resources to assist them in making informed purchasing decisions.
Augment the sales experience by offering guided selling tools like product finders and configurators.
B2B ecommerce sites search
Our Hybrid Search model starts by understanding the relationships between your parts and products, delivering accurate, context-specific results (e.g., differentiating a "bolt" for automotive vs. construction).
We break down your customer's complex queries into industry-specific language to deliver precise results.
We help your customer filter results by material, size, inventory, or compatibility to show customers exactly what they need.
Auto-suggest relevant queries and popular items as your customers type, helping them find the right products.
Zoovu data platform
Collect, clean, enrich, and maintain your product data, transforming it into a customer-loved search experience.
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.
Improve product search and discovery to make it easy for customers to buy online. This will shift more of your sales to e-commerce, increasing your digital revenue.
Help customers find what they need quickly, which will lead to more purchases and larger orders, boosting your revenue and profits.
Reduce the need for manual work and let your team focus on more important tasks. An intelligent site search tool allows customers to find resources without sales support.
Cut down on customer service and overhead expenses by optimizing search functionality. With improved search results, you'll experience fewer customer inquiries and increased visibility for scalable content, from product manuals to training materials.
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.
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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 is GDPR compliant so your customers’ data is private and secure
Zoovu’s design tools allow you to build assistants that align with accessibility regulations
Zoovu is SOC 2 Type 2 certified so you can be certain that your data is protected
Comparing B2C vs. B2B Site Search
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.
