Zevi.ai

Zevi.ai revolutionizes e-commerce search through AI-powered discovery, ranking, and merchandising capabilities across 90+ languages. This comprehensive overview examines the platform's technical architecture, pricing model, and implementation process, highlighting features like multilingual support, semantic search, and real-time analytics that drive improved conversion rates and customer satisfaction.

Overview

The platform's core functionality centers on its advanced neural search capabilities, which utilize sophisticated multilingual support through an in-house neural search algorithm. This architecture enables the platform to understand and process information across 90+ languages, supporting both natural language queries and image-based catalog enrichment through neural network training.

A key component of the system is its intelligent response ranking mechanism, which ensures that the most relevant answers or products always appear first in search results. This is achieved through continuous learning and automatic synonym creation, such as recognizing "sneakers" as equivalent to "running shoes" within an e-commerce context.

The platform's merchandising capabilities empower users to rank content based on click-through rates or reader feedback without requiring any code modifications. Through its advanced filter functionality, users can implement sophisticated sorting options including tag-based selection, value exclusion, merging, and manual sorting.

A notable feature of the platform is its multilingual support, achieved through fine-tuned models specifically trained for each store's domain and catalogue. This capability enables accurate search results across diverse markets, while technical features like regular indexing cycles and on-demand indexing capabilities maintain up-to-date product information.

The system's accuracy is further enhanced through automated suggestions, typo correction mechanisms, and catalog-based training processes. These elements work together to optimize product rankings based on comprehensive metrics including order data, click data, and product performance, ultimately maximizing store search revenue through intelligent ranking algorithms.

Technical Architecture

Zevi.ai employs a tier-based pricing model consisting of four plans: Starter, Standard, Business, and Enterprise. The platform measures search usage based on unique queries made through their system, with each query counted as one search. Product counts are determined by active products in the inventory.

The Starter plan offers basic features including semantic search, automated suggestions, multilingual support, filters, and collection support. It provides basic merchandising support and includes free trial access with unlimited products and searches.

The Standard plan builds upon the Starter features with intelligent ranking, advanced filter support, metafields support, and blogs and pages support. Each plan offers distinct capabilities, with the Business plan including advanced semantic layer, custom ranking module, image-based catalog enrichment, custom autocomplete, and theme replication.

The Enterprise plan is designed for larger-scale implementations or custom requirements, offering personalization, service-level agreement (SLA), industry-specific training, dedicated server support, advanced ML pipelines, and deep integration of analytics within workflows.

The platform's fine-tuned AI models are specific to each store's domain and catalogue, optimizing performance through continuous learning and automatic synonym creation. The architecture supports multiple simultaneous languages while maintaining 99.99% uptime. Search functionality can be implemented through the Shopify App or via API, with integration typically requiring less than five minutes.

Merchandising and Personalization

Merchandising controls within the Zevi.ai platform enable users to rank content based on click-through rate or reader feedback without requiring any code changes. The system uses a no-code, highly customizable dashboard that allows for performance-based ranking, advanced filtering options, and functionality that scales with business goals.

A key capability is the platform's basic and advanced merchandising controls, which give users complete control over how search results appear. Merchants can implement sophisticated ranking configurations based on product availability, new launches, and cost attributes, all while maintaining the ability to rank content based on click-through rates or reader feedback. This feature enables businesses to design and deploy optimized product rankings without the need for manual coding.

The platform supports advanced filtering capabilities including tag-based selection, the ability to exclude certain filter values, merging/grouping functionality, and manual sorting of filter values. These features allow for precise configuration of search criteria across multiple dimensions, enhancing both the user experience and the accuracy of returned results.

A notable aspect of Zevi.ai's approach is its use of fine-tuned models specifically trained for each store's domain and catalog. This targeted training approach allows the AI system to develop a deep understanding of the nuances within individual product sets, leading to more accurate search results and improved user satisfaction compared to approaches that rely heavily on manual tagging.

The system incorporates multiple technical features to support these capabilities, including regular indexing cycles and on-demand indexing functionality. These technical underpinnings help maintain up-to-date product information while ensuring the platform's reliability. The architecture is designed to maintain 99.99% uptime, providing consistent performance across all implemented features.

Analytics and Optimization

The platform utilizes a comprehensive suite of analytics tools to monitor both product-level revenue and search-level conversion metrics, providing merchants with real-time visibility into their store's performance. Through advanced data tracking mechanisms, Zevi.ai captures key metrics including customer search behavior, purchase patterns, and engagement levels across all implemented features.

A key strength of the platform lies in its ability to analyze customer buying patterns, interests, and search queries, using this behavioral data to deliver highly personalized and contextually relevant search results. By extracting insights from customer search behaviors, the system continuously optimizes its algorithms to provide the most accurate and beneficial results for each user.

The platform's technical architecture supports these analytics capabilities through robust data processing infrastructure. It maintains 4 indexing cycles per day, ensuring all product information remains up-to-date while keeping detailed analytics retained over a 24-month period. This frequency allows the system to quickly adapt to changing product listings while providing comprehensive historical data for performance analysis.

In addition to basic reporting, merchants receive advanced performance insights through intelligent ranking algorithms that optimize product visibility based on multiple factors including order data, click data, and performance metrics. The system continuously learns from these interactions to refine its search results, with the platform reporting an average improvement of 30% in conversion rates and double the search click-through rate (CTR) for participating merchants.

To help merchants understand and leverage these analytics, the platform provides several value-added features. The dashboard offers complete control over search result appearance through no-code customization options, allowing businesses to implement sophisticated ranking configurations based on their specific goals and requirements. This flexibility enables brands to optimize their product rankings across multiple dimensions, from cost-based sorting to complex multi-filter combinations.

The system also supports advanced merchandising controls through both basic and advanced configuration options, giving users complete freedom to tailor their search results to business goals. Merchants can implement smart ranking strategies that consider factors like product availability, new launches, and pricing, while maintaining the ability to rank content based on click-through rates or reader feedback.

Technical capabilities underpin these analytics features through regular indexing cycles and robust performance metrics. The platform maintains 99.99% uptime to ensure consistent performance across all implemented features. This reliability is supported by detailed API documentation, enabling seamless integration and customization options for businesses of all sizes.

Integration and Implementation

Zevi.ai's integration with Shopify stores follows a straightforward process that typically requires less than five minutes to complete. The platform offers two primary integration methods: through the Shopify App Store or via direct API access. Both options enable immediate search functionality upon production deployment, with the company emphasizing their quick implementation capabilities.

The platform's pricing structure operates on a monthly basis, with flexible plans designed to meet businesses of various scales. The tiered pricing model includes four plans: Starter, Standard, Business, and Enterprise. Each plan offers distinct features, search limits, and product limits to accommodate different business needs.

Users gain access to comprehensive support through multiple channels, including the website messaging feature, the dashboard interface, and direct email support at customer.support@zevi.ai. For more complex requirements, Zevi.ai offers personalized onboarding calls upon request and assigns dedicated account managers to larger customers.

The company maintains a responsive founding team that provides proactive customer support, with notifications sent via email and the app when users approach or exceed their plan limits. Monthly search usage is monitored, and users receive automatic resets at the beginning of each billing cycle after exceeding their allocated limits.

For seamless implementation, the platform requires less than 14 days of free trial access, which includes 100 user messages through their Chatscout feature. The dashboard provides detailed analytics and reports on every request made through the chat assistant, helping users understand and optimize their interactions with customers.