I
About
Wizzy is a comprehensive AI search and discovery engine designed specifically for e-commerce businesses. It delivers fast, accurate, and intent-driven search experiences that reduce abandonment and increase conversions. At its core, Wizzy uses advanced natural language processing to understand complex queries, correct typos, and rank results by shopper intent — ensuring customers find relevant products in seconds. The platform includes eight intelligent modules: AI Search, Advanced Filters, Product Discovery Analytics, Merchandising, Visual Search, Reels View Discovery, Conversational Shopping, and Conversational Filters. Together, these features provide a full-stack discovery experience. Merchants can auto-generate filters from their catalog, run A/B tests, boost or bury products strategically, and retarget high-intent users who abandoned searches. Wizzy also includes an AI Catalog Enrichment Agent that transforms raw, inconsistent product data into discovery-ready intelligence, making it easier for shoppers to find items regardless of how they're described. Visual Search lets customers upload images to find matching products, while Conversational Shopping allows natural-language dialogue to guide purchases. Built for Shopify, Magento 2, and API-first environments, Wizzy is ideal for mid-to-large e-commerce brands looking to reduce the 73% of customers who abandon poor search experiences and capitalize on the 35% revenue uplift that intelligent search delivers.
Key Features
- AI-Powered Site Search: Uses advanced NLP to understand customer intent, handle typos, and rank results accurately — even for complex or conversational queries.
- Visual Search: Lets shoppers upload images to find visually similar products, with mobile-optimized camera search support powered by AI image recognition.
- Conversational Shopping & Filters: An AI shopping assistant and voice/chat-based filtering system that allows customers to discover and narrow down products through natural conversation.
- Smart Merchandising & Analytics: Provides product boosting/burying, campaign-based merchandising, A/B testing, and deep analytics on search performance, customer behavior, and revenue attribution.
- AI Catalog Enrichment Agent: Automatically enriches and standardizes messy product data, making catalogs more discoverable and improving search result quality.
Use Cases
- A Shopify apparel store deploys Wizzy's AI Search and Visual Search so shoppers can find clothing by uploading outfit photos or typing natural-language queries like 'casual summer dress under $50'.
- A Magento electronics retailer uses Wizzy's Advanced Filters and Merchandising tools to auto-generate product filters and promote high-margin items in search results during seasonal campaigns.
- A large e-commerce brand leverages the AI Catalog Enrichment Agent to standardize thousands of inconsistently formatted product listings, improving search relevance across their entire catalog.
- An online grocery platform enables Conversational Shopping so customers can type or speak requests like 'gluten-free snacks for kids' and receive guided, filtered product recommendations.
- A DTC brand uses Wizzy's Analytics and A/B Testing capabilities to identify underperforming search queries and experiment with merchandising strategies to reduce search abandonment and lift revenue.
Pros
- Comprehensive Discovery Suite: Eight integrated modules — from visual search to conversational filters — cover every dimension of e-commerce product discovery in a single platform.
- Platform Flexibility: Native integrations with Shopify and Magento 2, plus a developer API, make Wizzy accessible for a wide range of e-commerce tech stacks.
- Revenue-Focused Features: Tools like search abandonment retargeting, A/B testing, and merchandising campaigns are directly tied to conversion rate improvements and revenue growth.
- No-Code Catalog Enrichment: The AI Catalog Enrichment Agent reduces the manual effort needed to maintain high-quality, discovery-ready product data.
Cons
- Pricing Not Transparent: Detailed pricing plans are not publicly listed, requiring potential customers to book a demo or sign up to understand costs.
- Limited Platform Support: Native integrations are currently focused on Shopify and Magento 2; merchants on other platforms must rely on the API for integration.
- Feature Complexity: With eight modules and advanced capabilities, smaller stores may find the platform more feature-rich than they need, potentially adding onboarding complexity.
Frequently Asked Questions
What e-commerce platforms does Wizzy support?
Wizzy natively supports Shopify and Magento 2. It also provides developer APIs for custom integrations with other platforms.
How does Wizzy's AI Search work?
Wizzy's AI Search uses natural language processing to understand shopper intent, automatically correct typos, and rank results based on behavioral signals — delivering accurate results even for complex or ambiguous queries.
Can Wizzy help recover customers who abandon search pages?
Yes. Wizzy includes a Search Abandonment feature that retargets high-intent users who left without converting, helping re-engage potential buyers.
What is the AI Catalog Enrichment Agent?
It's an AI agent that automatically cleans, standardizes, and enriches raw or inconsistent product data, transforming it into structured, discovery-ready catalog entries that improve search accuracy.
Does Wizzy offer analytics for search performance?
Yes. Wizzy's Product Discovery Analytics module provides detailed insights into search performance metrics, customer behavior patterns, popular products, and revenue attribution from search interactions.
