Klevu AI Visual Search - Detailed Review
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Klevu AI Visual Search - Product Overview
Introduction to Klevu AI Search
Klevu AI Search is a sophisticated AI-driven platform designed to optimize site search and product discovery for ecommerce websites. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Klevu AI Search is engineered to simplify the process of finding products on ecommerce websites. It leverages advanced artificial intelligence technologies, including deep machine learning (Deep ML) and natural language processing (NLP), to provide accurate and relevant search results. This helps customers quickly find what they are looking for, even when they make spelling mistakes or use synonyms.Target Audience
Klevu AI Search is primarily targeted at medium to large ecommerce businesses seeking to enhance customer engagement and maximize their sales potential. It is particularly beneficial for businesses with extensive product inventories and those operating in multiple regions or languages.Key Features
Advanced AI Search
Klevu uses machine learning to refine search results based on shopper behavior over time. This ensures that the search results become increasingly relevant as users interact with the platform, boosting conversion rates.Predictive Autocomplete
As soon as shoppers start typing, Klevu’s predictive autocomplete feature dynamically changes the results to show the most relevant products. This can be customized using an easy-to-use interface or through API integration.Visual Merchandising
Klevu allows businesses to fine-tune product results using strategic rules, product pinning, exclusion, and simple drag-and-drop interfaces. This feature helps in presenting the most relevant products to customers.Faceted Navigation
Dynamic filters on search overlay, search results pages, and category pages are easy to configure. These filters help shoppers navigate results more efficiently and inform Klevu AI about shopper preferences.Multilingual Search Capabilities
Klevu supports multilingual search, using localized machine learning to determine what shoppers want in almost any language. This feature is crucial for businesses operating globally.Search Personalization
Klevu personalizes search results using machine learning algorithms that analyze user behavior, browsing history, and purchase data. This ensures that even new and anonymous visitors receive relevant search results.Analytics and A/B Testing
Klevu provides comprehensive analytics to optimize campaigns and reduce friction in the customer journey. It also includes A/B and multivariate testing tools to determine what works best for shoppers on category and collection pages.Product Data Enrichment
Klevu automatically and manually enriches product data by adding synonyms, normalizing measurements, and indexing the enriched data in real-time. This expands the product data by 2-3 times without manual effort.Promotions
Klevu allows businesses to display curated and personalized banner content in search, categories, and more. Campaigns can be scheduled with specific start and end dates to optimize planning. By integrating these features, Klevu AI Search helps ecommerce businesses improve the customer search experience, increase conversion rates, and drive revenue growth. Klevu AI Visual Search - User Interface and Experience
User Interface Overview
The user interface of Klevu AI Visual Search is crafted to be intuitive, user-friendly, and highly engaging, particularly in the context of ecommerce search and product discovery.Predictive Autocomplete and Visual Search
When users start typing in the search bar, Klevu’s predictive autocomplete feature dynamically displays relevant product results, often in a visual format. This “Instant Search” feature shows predicted search results as a gallery of images in real-time, reducing the likelihood of users encountering “no results” and enhancing their search experience.Dynamic Filters and Faceted Navigation
Klevu’s AI-driven dynamic filters simplify the search process by automatically creating the most relevant categories and displaying them directly within the search bar. This approach eliminates the need for traditional drop-down menus, keeping the product listings visible during search. This feature makes it easier for shoppers to find what they are looking for without the annoyance of layered menus.Visual Merchandising
The visual merchandising capabilities of Klevu allow online stores to take full control over the look and feel of their site search and navigation. Users can customize the visual search interface to match their brand, including the ability to pin, exclude, or strategically place products using simple drag-and-drop interfaces. This ensures that the first products shoppers see are meaningful and relevant to their search.User-Friendly Dashboard
Klevu provides a user-friendly dashboard that enables businesses to easily configure search settings, including the search box design, filters, and sorting options. This dashboard also allows for the tracking of search analytics, which can be used to optimize the search experience further. The dashboard is straightforward, making it accessible for businesses of all sizes to manage and optimize their search and merchandising campaigns.Personalization
Klevu’s search engine personalizes results using machine learning algorithms that analyze user behavior and purchase history. Even new and anonymous visitors can benefit from personalized search results through clickstream data, segmentation, and collaborative filtering. This ensures that the search results are relevant and cater to the unique interests and preferences of each user.Ease of Use
The interface is designed to be easy to use, both for the shoppers and the ecommerce businesses. The setup and integration process is relatively simple, with options for plugins and APIs for popular ecommerce platforms like Magento and Shopify. Klevu’s support team is also available to assist with installation and customization, ensuring a smooth user experience from the outset.Overall User Experience
The overall user experience with Klevu AI Visual Search is enhanced by its ability to provide lightning-fast and accurate search results, even with typos and misspellings. The use of natural language processing (NLP) and deep machine learning ensures that the search results are relevant and contextually appropriate. This leads to higher click-through rates, more sales, and an improved overall customer experience.Conclusion
In summary, Klevu’s user interface is designed to be intuitive, visually appealing, and highly functional, making it easy for users to find what they are looking for while providing businesses with the tools to optimize and personalize the search experience effectively. Klevu AI Visual Search - Key Features and Functionality
Klevu AI Visual Search Features
Klevu AI Visual Search and its broader suite of search tools offer several key features that enhance the shopping experience for ecommerce users. Here are the main features and how they work:Predictive Autocomplete
Klevu’s predictive autocomplete feature dynamically changes search results as shoppers start typing. This ensures that the most relevant products are displayed immediately, even if the shopper makes typos or uses synonyms. The feature can be customized using an easy-to-use interface or through API integration to build a fully custom experience. This reduces the time shoppers spend searching and increases the likelihood of finding what they need quickly.Visual Merchandising
Visual merchandising allows merchants to fine-tune product results using strategic rules, product pinning, exclusion, and simple drag-and-drop interfaces. This feature enables merchants to control the display of products in search results, ensuring that the most relevant and profitable items are prominently displayed. It helps in optimizing the product presentation to align with business goals and customer preferences.Faceted Navigation
Faceted navigation provides dynamic filters on search overlays, search results pages, and category pages. These filters are easy to configure and help shoppers narrow down their search based on attributes like price, color, size, and more. This feature informs Klevu AI about shopper preferences as they browse, allowing for more personalized and relevant search results.Search Personalization
Klevu uses machine learning algorithms to personalize search results based on user behavior, browsing history, and purchase data. Even new and anonymous visitors can receive personalized results through clickstream data, segmentation, and collaborative filtering. This personalization enhances the shopping experience by showing users products that are more likely to interest them.Product Data Enrichment
Klevu automatically and manually enriches product data by adding synonyms, normalizing measurements, and indexing the enriched data in real-time. This process can expand the product data by 2-3 times without manual work, ensuring that the search engine can understand a wider range of search queries and provide more accurate results.Visual Search
The visual search feature allows customers to search using images. Users can upload images to find visually similar products, enhancing the shopping experience, especially for those who prefer visual cues over text-based searches. This feature leverages AI to match images with relevant products, making it easier for shoppers to find what they are looking for.Multilingual Search Capabilities
Klevu’s search engine supports multilingual capabilities, using advanced natural language processing and localized machine learning to understand shopper intent in various languages. This feature helps ecommerce sites cater to a global audience by providing relevant search results that are sensitive to local language and cultural preferences.Analytics
Klevu provides comprehensive analytics to help merchants optimize their search experience. The analytics tools offer insights into search queries, user behavior, and conversion rates. This data helps merchants refine their strategies, reduce friction in the customer journey, and avoid missed revenue opportunities.Promotions
Klevu allows merchants to display curated and personalized banner content in search results, categories, and other areas of the site. Merchants can schedule start and end dates for these promotions to optimize campaign planning and increase engagement.Integration and Customization
Klevu can be easily integrated with popular ecommerce platforms such as Magento, Shopify, and Shopware through plugins, REST API, or SDKs. The integration process involves adding a few lines of code to the website’s HTML. Once integrated, merchants can customize the search experience using a user-friendly dashboard to match their branding and style. These features, powered by AI technologies like deep machine learning and natural language processing, help ecommerce businesses improve their search functionality, enhance customer experience, and drive more conversions. Klevu AI Visual Search - Performance and Accuracy
Performance
Klevu AI is renowned for its speed and efficiency in handling search queries. Here are some highlights:Key Highlights
- Klevu’s search functionality is optimized to provide results quickly, even on large product catalogs, which can be a significant issue with native search solutions like Magento’s.
- The auto-suggest feature kicks in after just two or three characters are typed, displaying a dropdown with the most relevant results. This feature is further refined as the customer continues to type, ensuring ultra-fast and relevant results without the need for a page reload.
- The use of JavaScript enables instant search results, enhancing the overall user experience by reducing wait times.
Accuracy
Accuracy is a critical component of Klevu’s AI-driven search:Key Accuracy Features
- Klevu employs Natural Language Processing (NLP) to interpret complex and conversational queries, recognizing synonyms, misspellings, and long-tail searches with precision. This ensures that even vague queries yield accurate results.
- The system uses machine learning to optimize results based on user behavior, such as clicks, additions to cart, and purchases. This continuous learning process enhances the relevance and accuracy of search results over time.
- Klevu’s ability to learn from shopper search behavior and update its knowledge base accordingly ensures that the results are relevant and accurate, even when there is no exact match in the product catalog.
Personalization and Merchandising
Klevu’s AI also excels in personalization and merchandising:Personalization Features
- It uses clickstream, segmentation, and collaborative filtering to personalize search results, even for new and anonymous web visitors.
- The platform allows for manual control or AI optimization of category pages, enabling retailers to fine-tune product listings using strategic rules, drag-and-drop interfaces, and pinning. This helps in increasing click-through rates (CTR) by up to 2x.
Limitations and Areas for Improvement
While Klevu AI Visual Search offers significant advantages, there are a few areas to consider:Key Limitations
- Integration and Setup: While Klevu integrates well with platforms like BigCommerce and Magento, the initial setup and customization might require some technical expertise, especially for smaller retailers without dedicated IT teams.
- Cost: Premium AI search solutions like Klevu can be more expensive than native search functionalities, which might be a barrier for smaller businesses.
- Continuous Optimization: While Klevu’s AI learns from user behavior, continuous monitoring and A/B testing are necessary to ensure that the merchandising strategies are optimal. This requires ongoing effort and resources.
Klevu AI Visual Search - Pricing and Plans
Pricing Structure for Klevu AI
The pricing structure for Klevu AI, particularly in the context of their AI-driven shopping tools, is based on a tiered model that varies depending on the specific needs and size of the ecommerce business.
Pricing Tiers
- Klevu’s pricing is not fully transparent on their website, but it generally starts around $199 to $499 per month for smaller retailers and can increase significantly for larger businesses.
- Here are some general price ranges:
- For smaller retailers, prices can start at approximately $199 per month, with customized packages available for startups and small retailers.
- Mid-tier plans can start around €449 to €849 per month (approximately $490 to $930 USD), depending on the features and the size of the catalog.
- Larger enterprises may pay thousands of dollars per month, as the pricing is influenced by factors such as catalog size, queries per month, and additional features like language support or advanced analytics.
Features by Plan
Basic Plans
- These typically include core features such as:
- AI Product Data Enrichment
- Predictive Autocomplete
- Search Filters
- Visual Merchandising
- Search Analytics
- Basic Connectors (e.g., Trustpilot, Yotpo).
Mid-Tier Plans
- In addition to the basic features, these plans may offer:
- Personalized 1-to-1 Search
- Personalized 1-to-1 Recommendations
- Personalized 1-to-1 Merchandising
- Klaviyo Segment Targeting
- Advanced Analytics
- A/B Testing
- Faceted Navigation
- Landing Page Builder.
Advanced Plans
- These plans include all the features from the lower tiers plus additional advanced features such as:
- Multi-Language Support
- Synonym Optimization
- Search Promotions
- Content Search
- Search Redirects
- Comprehensive data tracking and analysis.
Free Options
- Klevu offers a 14-day free trial for businesses to experience their search features before committing to a plan.
Customization
- Klevu provides flexibility in their plans, allowing businesses to customize the look and feel of the search results and other features through their Merchant Center dashboard and APIs.
In summary, while the exact pricing details require direct contact with Klevu’s sales team, the general structure involves tiered pricing based on business size and feature requirements, with a range of features available across different plans.
Klevu AI Visual Search - Integration and Compatibility
Klevu AI Visual Search Overview
Klevu AI Visual Search and its broader product discovery suite integrate seamlessly with a variety of ecommerce platforms and tools, ensuring a smooth and effective implementation across different systems.Ecommerce Platform Integrations
Klevu offers pre-built connectors for major ecommerce platforms, making integration fast and straightforward. Here are some of the key platforms it supports:Magento
Klevu has a dedicated module for Magento 2, compatible with both Magento Open Source and Magento Commerce versions 2.3 and 2.4. This module provides intelligent cloud-hosted site search with self-learning capabilities.Shopify
Klevu can be easily integrated with Shopify and Shopify Plus through the Shopify marketplace.Bigcommerce
Klevu integrates with the Bigcommerce modern Open SaaS ecommerce platform, allowing for flexible and customized implementations.Salesforce Commerce Cloud
Klevu can replace the native search and discovery functionality in Salesforce Commerce Cloud.Shopware
Klevu supports integration with Shopware, either through pre-built connectors or by using SDKs and APIs.commercetools
Klevu integrates with both the frontend and backend of commercetools, enabling advanced search and product recommendations.Technology Stack Integrations
Klevu also integrates with various best-of-breed technologies to enhance its functionality:Klaviyo
Connects search activity with customer profiles, enabling targeted email and SMS campaigns.dotdigital
Allows for the insertion of search product recommendations in email campaigns and automated campaigns.Trustpilot and Yotpo
Displays ratings on products and allows these ratings to be shown in faceted navigation, enabling merchandising by rating.Custom and Open Integrations
For platforms not covered by pre-built connectors, Klevu provides open APIs, SDKs, and data feeds. This allows for integration with any ecommerce platform or custom-built technology stack, supporting both traditional and headless implementations.Device and Feature Compatibility
Klevu’s search and product discovery features are compatible across various devices and include several advanced functionalities:Voice Search
Supports hands-free shopping, recognizing spoken queries even with regional accents, which enhances mobile usability and accessibility.Real-Time Indexing
Ensures the search index is updated instantly when inventory changes occur, preventing out-of-stock issues and supporting high inventory turnover.Multi-Language Support
Klevu supports multiple languages, catering to a global audience and improving international SEO and localization.Customization and Personalization
Klevu offers full control over the look and feel of search results, based on the open CSS principle. It also provides advanced personalization features using clickstream, segmentation, and collaborative filtering, which can personalize experiences even for new and anonymous web visitors.Conclusion
In summary, Klevu AI Visual Search and its associated tools are highly versatile and compatible with a wide range of ecommerce platforms, technologies, and devices, making it a comprehensive solution for enhancing search and product discovery in online stores. Klevu AI Visual Search - Customer Support and Resources
Customer Support Options
Klevu AI Visual Search offers a comprehensive array of customer support options and additional resources to ensure users get the most out of their platform.24/7 Technical Support
Klevu provides technical support available 24 hours a day. Users can submit a ticket for any technical issues they encounter, ensuring prompt assistance at any time.Community Forum and Knowledge Base
For developers and users, Klevu has a community forum and a detailed knowledge base. These resources offer a wealth of information and help on various topics, allowing users to find solutions and learn from the community.Customer Success Managers
From the moment you sign up, Klevu assigns a team of expert Customer Success Managers who work both operationally and strategically with you. They assist with implementation, configuration, and regular reviews to ensure you meet your goals and follow best practices.Go-Live Audits
Klevu conducts Go-Live Audits to review your website’s search, navigation, mobile experience, product recommendations, and personalization. This audit highlights areas for improvement and provides ideas and inspiration to enhance your site’s performance.Development Support
Klevu offers extensive development support, including resources for developers such as full documentation, code examples, and the ability to customize the search functionality using JavaScript. This allows frontend development teams to customize the look, feel, and functionality of the quick search and search results pages.Partners and Integration
Klevu makes it easy to integrate their product discovery power with any JavaScript UI using their easy-to-use SDK. This includes full autocompletion support and extensive code examples, making integration straightforward.Conclusion
By providing these support options and resources, Klevu ensures that users can effectively implement and optimize their AI-driven search and product discovery solutions, leading to improved ecommerce performance and customer satisfaction. Klevu AI Visual Search - Pros and Cons
Advantages of Klevu AI Search
Klevu AI Search offers several significant advantages that can enhance the shopping experience and boost conversion rates for e-commerce businesses.Advanced Search Capabilities
Klevu uses machine learning and natural language processing to provide highly accurate search results. This allows customers to find products using everyday language, rather than exact match keywords, making the search experience more intuitive and user-friendly.Personalized Recommendations
The platform offers personalized product recommendations based on shopper intentions and behavior. Klevu’s Smart Recommendations tool uses true shopper intent from search queries, clicks, and purchases to suggest relevant products, which can increase average order value and per-session value.Smart Category Merchandising
Klevu dynamically ranks and orders products on category pages using AI, combined with merchandiser-friendly controls. This feature helps in visual merchandising and ensures that the most relevant products are displayed to shoppers.Integration with E-commerce Platforms
Klevu integrates seamlessly with popular e-commerce platforms such as Shopify, Magento, and BigCommerce, making it easy to implement without significant technical expertise.Real-Time Optimization
The platform continuously optimizes search functionality and product recommendations in real-time, using clickstream data and user behavior to improve the shopping experience.Privacy-First Personalization
Klevu ensures personalized experiences without compromising user privacy, delivering relevant products without using sensitive personal data.Disadvantages of Klevu AI Search
While Klevu offers powerful features, there are some drawbacks to consider.Cost
The cost of the platform can be high, particularly for smaller businesses or startups, especially when scaling up to enterprise-level features.Learning Curve
There is a reported learning curve for fully utilizing the platform’s advanced features, which may require additional time or support to optimize settings.Fine-Tuning
Klevu’s AI capabilities may need fine-tuning to handle specific product categories or industry niches effectively, which could lead to occasional search inaccuracies.Pricing Tiers
The pricing model includes various tiers with different limits on impressions, search requests, and category page views. Additional charges may apply for exceeding these limits, which could add to the overall cost. In summary, Klevu AI Search is a powerful tool for enhancing the shopping experience and increasing conversion rates, but it may present challenges in terms of cost and the need for fine-tuning and learning its advanced features. Klevu AI Visual Search - Comparison with Competitors
When Comparing Klevu AI Visual Search with Competitors
When comparing Klevu AI Visual Search with its competitors in the AI-driven product discovery category, several key features and alternatives stand out.
Unique Features of Klevu AI Visual Search
- Visual and Image Search: Klevu offers advanced visual search capabilities, including image upload and the ability to shop for visually similar products. This feature is particularly useful for customers who prefer searching through images rather than text.
- Predictive Autocomplete: Klevu’s predictive autocomplete feature dynamically updates search results as the user types, ensuring the most relevant products are displayed immediately.
- Product Data Enrichment: Klevu automatically and manually adds synonyms, normalizes measurements, and indexes enriched data in real-time, significantly expanding product data without manual effort.
- Faceted Navigation and Visual Merchandising: Klevu provides dynamic filters and easy-to-apply strategic rules for fine-tuning product results, which helps in informing the AI about shopper preferences.
- Voice Search and Semantic Query Processing: Klevu supports voice search and uses semantic query processing in live search, enhancing the search experience with advanced AI technologies.
Competitors and Alternatives
Syte AI
- Visual AI Focus: Syte AI specializes in visual search and discovery, similar to Klevu, but is particularly suited for fashion, furniture, and home décor businesses. It offers features like “shop the look” and automated product tagging.
- Personalized Shopping Experiences: Syte AI creates engaging and personalized shopping experiences, but its pricing is premium and might require technical expertise for optimal implementation.
AddSearch
- User-Friendly Interface: AddSearch is known for its user-friendly interface and comprehensive suite of features tailored for e-commerce. It offers AI-powered relevance and actionable insights through analytics tools.
- Ease of Use: AddSearch is easy to set up and manage, making it a good option for businesses of all sizes. However, its pricing might be higher than some other alternatives.
Constructor
- AI-Powered Search: Constructor offers AI-powered search and product discovery solutions, focusing on online shopping experiences. It competes with Klevu in terms of advanced AI technologies but may have different pricing and customer references.
- Advanced Features: Constructor’s platform is geared towards providing highly relevant search results and personalized recommendations, making it a strong alternative for enterprise-level e-commerce businesses.
Coveo
- Enterprise-Level Solution: Coveo is an AI-powered platform that goes beyond traditional search by leveraging machine learning and analytics to understand user intent and behavior. It is ideal for large-scale e-commerce operations seeking advanced features and scalability.
- Highly Personalized Search: Coveo delivers highly personalized search and discovery experiences, driving engagement and conversions, but it may be more complex and expensive compared to Klevu.
Searchspring
- Ecommerce Search and Merchandising: Searchspring focuses on e-commerce search, merchandising, and personalization. It offers services that help online retailers optimize their search results and product recommendations, though it may not have the same level of visual search capabilities as Klevu.
Each of these alternatives has its unique strengths and may be more or less suitable depending on the specific needs and budget of the e-commerce business. For instance, if visual search is a priority, Syte AI or Klevu might be the best choice. For a more user-friendly and analytics-driven approach, AddSearch could be ideal. For enterprise-level solutions with advanced AI, Constructor or Coveo might be better options.
Klevu AI Visual Search - Frequently Asked Questions
Frequently Asked Questions about Klevu AI Visual Search
What is Klevu AI Visual Search?
Klevu AI Visual Search is a feature that allows customers to search for products using images. This includes the ability to upload images or search for visually similar products, enhancing the shopping experience by making it more intuitive and visual.
How does Klevu’s predictive autocomplete work?
Klevu’s predictive autocomplete feature starts suggesting products as soon as the shopper begins typing in the search bar. The results dynamically change to ensure the most relevant products are displayed, reducing the likelihood of “no results” and enhancing the user experience.
What are the benefits of using Klevu’s dynamic filters?
Klevu’s dynamic filters automatically create relevant categories and display them to the customer in real-time as they search. This feature helps shoppers refine their searches easily using attributes like price, color, and size, leading to higher click-through rates and more sales.
How does Klevu personalize search results?
Klevu personalizes search results using machine learning algorithms that analyze the user’s browsing history and purchase behavior. This ensures that search results are relevant to the individual user, increasing engagement and the likelihood of repeat purchases.
Can Klevu handle typos and misspellings?
Yes, Klevu includes advanced spell correction and synonym recognition capabilities. This means shoppers can find products even if they make typos or use different words, ensuring a smoother search experience.
How does Klevu’s visual merchandising work?
Klevu’s visual merchandising allows online stores to take full control over the look and feel of their site search and navigation. This includes customizing the visual search interface, pinning and excluding products, and using drag-and-drop interfaces to fine-tune product results.
Does Klevu support voice search?
Yes, Klevu supports voice search, making it easier for customers to find products using voice commands. This feature is part of its broader AI search capabilities.
How does Klevu integrate with ecommerce platforms?
Klevu can be easily integrated with popular ecommerce platforms such as Adobe Commerce (Magento). This integration does not disrupt the existing setup and enhances the search capabilities of the platform.
What kind of analytics does Klevu provide?
Klevu provides valuable insights into search queries, user behavior, and conversion rates. These analytics help online retailers optimize their ecommerce search experience, reduce friction in the customer journey, and avoid missed opportunities for revenue growth.
Can I customize the look and feel of Klevu search results?
Yes, Klevu offers full control and flexibility over the look and feel of search results. Based on an open CSS principle, search results can be customized to match the brand’s style and preferences.
How does Klevu’s product data enrichment work?
Klevu automatically and manually enriches product data by adding synonyms, normalizing measurements, and indexing this enriched data in real-time. This can expand the product data by 2-3 times without manual work, improving the accuracy and relevance of search results.
Klevu AI Visual Search - Conclusion and Recommendation
Final Assessment of Klevu AI Visual Search
Klevu AI Visual Search is a sophisticated tool that significantly enhances the search and discovery experience for online shoppers. Here’s a comprehensive overview of its benefits and who would most benefit from using it.Key Features and Benefits
Advanced AI Search
Klevu uses machine learning and natural language processing to provide highly relevant search results. It can correct typos and misspellings, and its algorithms learn from shopper behavior over time to improve search accuracy.
Visual Merchandising
The platform allows businesses to customize the visual search interface, ensuring it aligns with their brand strategy. This includes features like product pinning, exclusion, and drag-and-drop interfaces to fine-tune product listings.
Dynamic Filters
Klevu offers seamless filtering options on search overlay, search results pages, and category pages. These filters help shoppers refine their searches easily based on attributes like price, color, and size.
Personalization
The platform personalizes search results and recommendations based on user behavior, including browsing history and purchase data. This enhances customer engagement and increases the likelihood of repeat purchases.
A/B Testing and Analytics
Klevu provides tools for A/B and multivariate testing, allowing businesses to experiment with different merchandising strategies and gain valuable insights into customer behavior and search patterns.
Integration and Scalability
Klevu integrates smoothly with popular ecommerce platforms like Shopify, Adobe Commerce (Magento), and BigCommerce, ensuring scalability without downtime.
Who Would Benefit Most
Klevu AI Visual Search is particularly beneficial for medium to large ecommerce businesses looking to enhance customer engagement and maximize sales potential. Here are some key groups that would benefit:Ecommerce Retailers
Businesses with extensive product inventories will find Klevu’s dynamic filtering and merchandising capabilities invaluable for improving product discovery and reducing the likelihood of “no results” searches.
International Businesses
Companies operating across multiple regions can leverage Klevu’s compatibility with platforms like Shopify Markets to manage search and merchandising efficiently without geographical barriers.
Brands Focused on Customer Experience
Businesses that prioritize providing a seamless and personalized shopping experience will appreciate Klevu’s advanced AI-driven search and recommendation features.