Zoovu
Zoovu helps enterprises drive conversions through AI-powered product discovery and guided selling.
Zoovu is an AI-powered product discovery and guided selling platform that transforms messy product data into semantically enriched information powering conversational buying experiences. It serves enterprise retailers and brands across e-commerce, B2B, and complex product categories by replacing generic keyword search with intelligent question-based navigation. The platform integrates search, guided selling, product configuration, and bundling from a single system, enabling customers to discover products through natural language interactions rather than static product listings. Zoovu's differentiation lies in its unified approach and advisor-model questioning sequences that match how buyers naturally navigate complex product categories.
Problem solved
Enterprise buyers struggle to navigate complex product catalogs with incomplete data, leading to low conversion rates, high support costs, and poor customer experience.
Target customer
Enterprise retailers and brands selling complex products across e-commerce, B2B, and industrial categories. Typically companies with 500+ SKUs, multiple product attributes, and high customer confusion in product discovery.
Founders
M
Markus Linder
Founder & CEO
Serial entrepreneur and e-commerce expert with guided selling expertise since 2005; founder of 3 other companies including inoqo and SMARTASSISTANT.
M
Martin Schliefnig
Co-Founder & CSO
Co-founder focused on commercial strategy and operations.
J
Jonathan Taylor
Founder & CTO
Former Chief Technology Officer at SmartFocus, leading technical architecture.
R
Rob Mullen
CEO
Current CEO overseeing operations and strategy.
Funding history
Series A
Unknown
September 2017
Led by ProVen VCT
· Unknown
Series B
$14M
February 2019
Led by Target Global
· 2 additional investors
Series C
$169M
June 2022
Led by FTV Capital
· Unknown
Total raised:
$200M
Industries
Pricing
Not publicly available. Subscription-based model with recurring fees. Customer reviews indicate pricing increases over time. Contact sales for quotes.
Notable customers
Amazon, P&G, Whirlpool, Microsoft, Canon, B/S/H (Bosch Siemens Home), Trek, GE Healthcare, Einhell, Staples, Bosch, Euronics Group. 3,500+ brands and retailers total.
Integrations
SAP, BigCommerce, Shopify Plus, Salesforce Commerce Cloud, Intershop, HubSpot, Shopware, Optimizely, Microsoft Azure Marketplace
Website
Competitors
Coveo
Broader AI-powered search platform; less specialized in guided selling for complex product discovery.
Algolia
Focused primarily on fast search performance; lacks guided selling and product configuration features.
Lucidworks
Enterprise search platform with less emphasis on guided selling workflows and natural language buying journeys.
Constructor
Merchandising and search automation; lacks integrated product configuration and guided selling advisor models.
Klevu
Focused on search and merchandising; smaller feature set compared to Zoovu's unified discovery platform.
Why this matters: Zoovu is a leader in the emerging agentic commerce space, having recently launched an MCP Server for AI agents in December 2025. With $200M in funding and 3,500+ enterprise customers showing significant conversion gains (200%+ in documented cases), Zoovu is at the forefront of using AI to transform product discovery from search-based to question-based buying journeys—a fundamental shift in how enterprises approach e-commerce and B2B sales.
Best for: Enterprise retailers and B2B companies with complex product catalogs who need to increase conversion rates and reduce customer support burden through intelligent, conversational product discovery.
Use cases
Complex Product Configuration & Discovery
Industrial and appliance manufacturers like B/S/H and Trek use Zoovu's guided selling to walk customers through product attributes and options. Instead of browsing 50+ product variations, customers answer structured questions that narrow down to the perfect match, resulting in 200% conversion increases and 6X higher average order values.
AI Shopping Assistant Deployment
Retailers like Microsoft and Staples deployed Zoe, Zoovu's AI shopping assistant, across PDPs and search to handle natural language product queries. The assistant interprets customer questions in natural language and surfaces relevant products, reducing manual search time by 80% for B2B buyers.
Product Data Enrichment & Standardization
Large enterprises with fragmented product data use Zoovu's AI Data Platform to centralize and clean messy catalog information, converting it into machine-readable, semantically enriched data. This enables consistent product experiences across all digital channels without manual data entry.
Conversion Optimization for High-Intent Buyers
Canon's lens finder tool built on Zoovu achieved 53% conversion increases by using guided selling to match customer photography needs with specific lens models. This approach targets high-intent buyers during critical decision moments rather than relying on generic search.
Alternatives
Coveo
Choose Coveo for broader AI-powered search across all content types; choose Zoovu if you need specialized guided selling and product configuration for complex categories.
Algolia
Algolia is best for pure search performance and merchandising; Zoovu is better if you need conversational, guided buying experiences and product configuration workflows.
Lucidworks
Lucidworks suits enterprise search across diverse content; Zoovu excels for product discovery with guided selling and natural language buying journeys.
FAQ
What does Zoovu do? +
Zoovu is an AI-powered product discovery platform that replaces generic search with guided selling, intelligent product configuration, and conversational buying experiences. It converts messy product data into semantically enriched information that powers natural language shopping assistants, helping enterprise retailers and brands increase conversions and reduce customer support costs.
How much does Zoovu cost? +
Pricing is not publicly available. Zoovu operates on a subscription-based model with recurring fees. Costs vary based on usage, product catalog size, and feature set. Contact Zoovu sales for a custom quote.
What are alternatives to Zoovu? +
Key alternatives include Coveo (broader AI search platform), Algolia (focused on search performance), Lucidworks (enterprise search), Constructor (merchandising automation), and Klevu (search and merchandising). Each differs in specialization—Zoovu stands out for guided selling and product configuration.
Who uses Zoovu? +
3,500+ brands and retailers use Zoovu, including major companies like Amazon, P&G, Whirlpool, Microsoft, Canon, Bosch, Trek, GE Healthcare, and Staples. It's primarily used by enterprise retailers and B2B companies selling complex products with multiple attributes and configurations.
How does Zoovu compare to Coveo? +
Both are AI-powered discovery platforms, but Zoovu specializes in guided selling and product configuration through structured question workflows, while Coveo offers broader AI search across diverse content types. Zoovu's advisor model works best for categories with predictable buyer intent; Coveo excels at general enterprise search.
What makes Zoovu different from competitors? +
Zoovu's unified platform combines search, guided selling, product configuration, and bundling in one system—eliminating the need to patch together multiple vendors. Its advisor model uses structured questioning to narrow product discovery, replacing generic keyword search. The platform's semantic data enrichment and natural language capabilities power conversational buying experiences specifically designed for complex product categories.
Can Zoovu integrate with my e-commerce platform? +
Yes. Zoovu integrates with major platforms including Shopify Plus, BigCommerce, Salesforce Commerce Cloud, SAP, Intershop, HubSpot, and others. It's also available in Microsoft Azure Marketplace. Contact sales to confirm compatibility with your specific stack.
Tags
AI product discovery
guided selling
e-commerce
product configuration
conversational commerce
search
enterprise retail