AI-powered site search and product discovery platform that uses machine learning to deliver personalized, relevant search results and recommendations for e-commerce stores.
AI-powered site search and product discovery platform that uses machine learning to deliver personalized, relevant search results and recommendations for e-commerce stores.
Klevu is an AI-powered e-commerce search and product discovery platform in the Search & Discovery category, offering a free tier for up to 1,000 products with paid plans starting at approximately $449/month for growing stores and custom enterprise pricing for high-volume retailers. Since its founding in 2013, the platform has powered over 15,000 e-commerce sites globally, transforming how customers find and discover products online. Klevu's core technology combines natural language processing with machine learning models trained specifically on retail shopper behavior — processing clicks, add-to-cart signals, purchases, and browsing patterns to continuously re-rank results for commercial relevance rather than relying on generic keyword matching.
The platform's unified discovery suite spans four key product areas: AI Site Search, Smart Category Merchandising, a Recommendations engine, and Klevu MOI for AI-driven SMS marketing. This integrated approach means all modules share the same underlying behavioral data, creating a compounding personalization effect as shoppers interact across search bars, category pages, and recommendation widgets. Merchants using Klevu have reported average conversion rate improvements of 37% on search-driven traffic and revenue-per-visitor lifts of 20–30% after implementation.
Klevu provides native integrations for Shopify, Shopify Plus, BigCommerce, Adobe Commerce (Magento), and Salesforce Commerce Cloud, covering the vast majority of mid-market and enterprise e-commerce platforms. For headless and composable storefronts, Klevu offers JavaScript SDKs and RESTful APIs with sub-100ms response times, making it viable for custom frontend architectures. The platform supports 30+ languages with NLP that handles misspellings, synonyms, and natural language queries across each locale.
On the merchandising side, Klevu gives retail teams drag-and-drop curation, product pinning, boosting and burying controls, synonym management, and rule-based overrides — all layered on top of the AI's automated ranking. This hybrid approach lets merchandisers intervene surgically for campaigns or promotions without sacrificing the AI's baseline relevance. The analytics dashboard surfaces search-led revenue attribution, zero-result query reports, trending search terms, and conversion funnels, giving both merchandising and marketing teams actionable data to optimize the shopping experience.
Klevu's customer base includes recognizable brands such as PUMA, Lacoste, and Majestic Wine, and the platform has processed billions of search queries across verticals including fashion, beauty, electronics, home goods, and sporting goods. With SOC 2 Type II compliance, GDPR and CCPA adherence, and AES-256 encryption, Klevu meets the security and privacy requirements of enterprise retailers operating in regulated markets.
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Advanced natural language processing engine that understands search intent, handles typos, synonyms, and complex queries while learning from user behavior to continuously improve relevance scoring.
Use Case:
Customer searches for 'comfy running shoes for flat feet' and receives results prioritized by comfort ratings, arch support features, and running-specific attributes rather than just keyword matches.
Machine learning algorithms that adapt search results and recommendations based on individual customer behavior, purchase history, browsing patterns, and demographic data to create unique shopping experiences.
Use Case:
Returning customer sees search results and recommendations tailored to their previously purchased sizes, preferred brands, price range, and product categories they've shown interest in.
Computer vision-powered search that allows customers to find products by uploading images, enabling 'search by photo' functionality and visual product discovery.
Use Case:
Customer uploads photo of a room setup and finds matching furniture pieces, similar color schemes, or complementary home decor items from the store's current inventory.
AI-assisted merchandising dashboard that provides tools to optimize product placement, boost underperforming items, create targeted promotional displays, and control search result rankings based on business rules.
Use Case:
Store manager promotes slow-moving winter inventory during unexpected cold weather while maintaining search quality, or boosts high-margin products in relevant search results.
Comprehensive analytics suite that tracks search behavior, identifies trends, predicts demand, and provides actionable insights for inventory planning and marketing strategies.
Use Case:
Platform identifies emerging search trends for 'sustainable clothing' three months before peak season, allowing merchant to adjust inventory and marketing focus accordingly.
$0/month — up to 1,000 indexed products
From approximately $449/month (varies by catalog size and search volume)
Custom quote — typically $1,500+/month for high-volume retailers
Ready to get started with Klevu?
View Pricing Options →Sign up for free account, install platform-specific app or integration, configure product catalog sync, customize search interface to match store design, and monitor analytics for optimization opportunities.
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Klevu has continued deepening its AI capabilities through 2025 and into 2026 with expanded generative AI features for shopper-facing experiences, including more conversational search interactions and AI-generated query understanding. The platform has invested heavily in its Klevu MOI SMS marketing module and broader composable commerce support for headless architectures.
Search & Discovery
AI-powered search and discovery platform for building fast, relevant search experiences across websites, e-commerce stores, and applications.
Search & Discovery
Distributed search and analytics engine for full-text search, structured search, and real-time data analysis.
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