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FEATURED REPORT
The 2025 State of Ecommerce Search Report
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.
When customers are looking for replacement parts, a specialized tool, or a new component, they are faced with too many results, no results, or results that don’t match at all. Why? Out-of-the-box search tools from SAP Commerce, Salesforce, and WordPress lack the AI capability to understand your buyer’s intent. Zoovu changes that with an AI search that bridges the gap between how you talk about your products and how customers discover them.
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.
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.
Collect, clean, enrich, and maintain your product data, transforming it into a customer-loved search experience.
Ingest and normalize product data from PDFs, CSVs, webpages, and reviews. Our AI organizes this data, identifies gaps, and ensures a complete and reliable catalog.
Automatically fix errors and standardize values. Our Data Platform corrects spelling mistakes and normalizes product descriptions and formats, ensuring consistency across your catalog.
Turn specs into customer-friendly descriptions. Generative AI enriches technical specs into clear, compelling language, making it easy for customers to understand product benefits and discover complementary items, driving sales.
Update product data effortlessly. Our AI automatically updates all channels and experiences with a few clicks, keeping your catalog current and error-free.
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.
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.
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