Master Klevu with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
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.
💡 Quick Start: Follow these 2 steps in order to get up and running with Klevu quickly.
Explore the key features that make Klevu powerful for ai ecommerce workflows.
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.
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.
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.
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.
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.
Platform identifies emerging search trends for 'sustainable clothing' three months before peak season, allowing merchant to adjust inventory and marketing focus accordingly.
Klevu typically shows immediate improvements in search functionality, but the AI learns and optimizes over time. Most merchants see significant improvements in search relevance within 2-4 weeks as the system learns from customer interactions and behavior patterns.
Klevu integrates with over 50 platforms including Shopify, Magento, WooCommerce, BigCommerce, Salesforce Commerce Cloud, and custom solutions through APIs. The platform also offers specialized apps for major platforms with simplified setup processes.
Yes, Klevu offers a freemium tier suitable for smaller stores and scales with business growth. However, stores with larger catalogs and higher traffic volumes will see more significant benefits from the AI's learning capabilities and advanced features.
Klevu supports multi-language search capabilities and can handle stores operating in multiple regions. The platform can understand queries in different languages and provide relevant results while maintaining consistent performance across language barriers.
Klevu provides comprehensive analytics including search performance metrics, popular queries, conversion tracking, zero-result analysis, customer journey insights, and revenue attribution. These insights help merchants optimize their product catalogs and improve overall performance.
Now that you know how to use Klevu, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful ai ecommerce tool in minutes.
Tutorial updated March 2026