AI CONVERSATIONAL SEARCH

AI-driven conversational search for enhanced product discovery

Zoovu’s conversational search tool leverages AI to create a dynamic, needs-based dialogue with your shoppers, making discovery seamless and boosting engagement.

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Ecommerce success depends on engaging customers with intuitive, dialogue-driven interactions

Zoovu’s conversational search tool transforms discovery with intuitive, dialogue-driven AI that connects products to customer needs in real time. Deliver personalized journeys, boost conversions, and scale effortlessly—meeting modern ecommerce demands with ease.

What is conversational search?

Traditional ecommerce search is rigid, often relying on precise keywords to deliver results. Conversational search transforms this experience by using AI to understand and engage with customers through natural language. This innovative approach delivers personalized, accurate results by dynamically interpreting customer intent and needs.

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Natural language queries to understand customer intent

“Office-friendly,” “Adventure-ready,” or “Eco-friendly materials.”

Tailored recommendations based on dialogue

“Gaming setup” or “Perfect for small spaces.”

Context-aware interactions

“Luxury feel” or “Budget-friendly elegance.”

Search and product discovery
for revenue growth

Needs-based query understanding

Improve search accuracy by recognizing customer intent, even when queries are vague or varied.

Example: A shopper searching for “high-performance gaming laptop” may not include specifics, but the system identifies key product attributes like dedicated GPU, 144Hz+ refresh rate, advanced cooling, and mechanical keyboard compatibility—ensuring they see the best options for gaming instead of general laptops.

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Semantic similarity search

Help customers find the best alternatives by linking products with similar features, styles, or specs.

Example: A shopper looking for a “Patagonia Nano Puff Jacket” might be shown other insulated jackets with similar attributes like lightweight warmth, water resistance, synthetic fill, and packability—offering budget-friendly or premium alternatives.

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Bundling and relational search

Boost sales by recommending complementary products that match key features. These recommendations create a complete setup for the customer while increasing order value.

Example: A shopper browsing a 15-inch gaming laptop sees relevant add-ons like:

  • Laptop sleeve that fits a 15.6” device with proper padding.
  • Cooling pad designed for high-performance CPUs and GPUs.
  • Mechanical keyboard with low-latency input, RGB lighting, and programmable macros for gaming.
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Knowledge gathering

Help customers make informed purchases by answering specific product questions using real data.

Example: A shopper asks, “Is this jacket made of sustainable materials?” Instead of a generic response, the system highlights key details like:

  • 100% recycled polyester shell, organic cotton lining
  • Bluesign® approved, Fair Trade Certified™
  • Made in an ethical manufacturing facility

By surfacing relevant attributes, customers can confidently choose products that align with their values.

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AI search solutions designed specifically
for enterprise ecommerce

customize search
Product comparison

Allow customers to compare up to four products directly from search results.

Dynamic filtering

Automatically reorder filters, set custom ranges, and display only the most relevant facets.

Ranking strategy manager

Adjust the importance of product attributes to align search outcomes with marketing goals.

Result manager

Gain complete control over what customers see on search result pages.

Dynamic category pages

Show customers the perfect products so you can make more sales.

Ontology-based search

Your product data is organized and analyzed to give better search results.

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Synonym, slang, and typo detection

Detect and correct common search issues.

Article number search

Match customers with their product as they begin typing an article number, part number, or SKU.

Zoovu’s AI search personalizes the discovery
experience for any industry

As B2B sales shift to customer-led purchasing, Zoovu’s SAP CPQ helps your business stay agile and customer-focused. With AI and machine learning, you can forecast trends, adjust pricing in real-time, and deliver personalized recommendations. Automation and scalability keep your sales processes efficient and ready to grow.

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Retailers

Turn search into a conversation that understands shoppers. Zoovu’s AI guides customers through natural, interactive search experiences, helping them find the right products quickly—just like talking to an expert salesperson.

Manufacturers

Simplify complex product searches with AI-driven conversations. Zoovu translates technical specs into easy-to-understand dialogue, ensuring customers get the right product without needing expert knowledge.

Marketplaces

Make large product catalogs easy to navigate with intelligent, conversational search. Zoovu helps customers refine their search naturally, delivering accurate, relevant results across multiple vendors—no keyword guesswork required.

Frequently asked questions

Conversational search leverages AI to interact with customers through natural language, simplifying the product discovery process by understanding intent and delivering personalized results.

Absolutely. It’s designed to handle extensive, dynamic catalogs while delivering a personalized experience to each customer.

Conversational search improves user experience by offering tailored recommendations, boosting customer satisfaction, and increasing conversion rates.