Product overview A configurable faceted filtering solution designed to make product discovery faster and more relevant for online shoppers. The filter set focuses on clarity, speed, and flexibility to help visitors find the right products with fewer clicks and less frustration. Key benefits Faster product discovery: Presents relevant attributes and options so customers reach the right product more quickly. Fewer abandoned searches: Filters narrow results without hiding options, reducing shopper frustration. Better mobile experience: Responsive layouts and compact controls improve navigation on phones and tablets. Flexible configuration: Supports a range of attribute types and display styles to match catalog structure and store design. Light performance footprint: Loads progressively and uses asynchronous requests to avoid blocking page rendering. Core functions Faceted navigation: Filter by attributes such as category, range, size, color, rating, and custom product fields. Dynamic counts and active filters: Shows result counts and current selections to keep users oriented. Multiselect and nested filters: Allow combined criteria and hierarchical attribute selection where applicable. Sort and refine: Combine filtering with sorting options for relevance, newest, , or custom metrics. Client and server side support: Works as a frontend widget with optional server side integration for large catalogs. Compatibility and technical details Platform compatibility: Available for common ecommerce platforms, including Shopify, Magento, WooCommerce, BigCommerce, and PrestaShop. Implementation formats: JavaScript widget for frontend integration and API endpoints for server side filtering. Size and performance: Built to have a small bundle size and to load asynchronously to minimize impact on page speed. Material and code: Lightweight JavaScript and CSS components with configurable templates for visual . Accessibility: Designed to follow common accessibility patterns for keyboard navigation and screen reader support. What makes it stand out Configurable display types: Choose between checkboxes, sliders, swatches, dropdowns, and tag lists to match the storefront and product attributes. Scalability: Handles small to large catalogs with options to offload heavy filtering to the server. UXfocused behaviors: Preserves state across navigation, supports deep linking to filter combinations, and provides clear reset and apply controls. Easy styling: Templatedriven approach that adapts to existing themes without full redesign. Typical use scenarios 1) Apparel retailer with many variants Enable size, color, material, and filters so shoppers can quickly narrow thousands of SKUs to find items that match fit and style preferences on both desktop and mobile. 2) Electronics store with technical specifications Provide attribute filters for processor type, memory, screen size, connectivity, and brand compatibility to help technical buyers compare models and refine searches by specific features. 3) Marketplace with diverse sellers Use server side filtering and dynamic counts to keep result pages responsive while allowing users to filter by condition, location, range, options, and seller rating. Deployment and configuration notes Start with a minimal set of attributes and expand based on customer search behavior. Use asynchronous loading and server side queries for very large catalogs to maintain fast response times. display templates and CSS to maintain visual consistency with the storefront. Enable deep linking to allow marketing campaigns and search engine indexing of filtered result pages. What is included Frontend widget code and styling templates. API integration guide for server side filtering. Configuration options for attribute types, display modes, and behavior settings. Documentation for installation, , and recommended performance practices. This filter solution is intended to improve the shopping experience and help customers find products more efficiently. It is configurable to match catalog structures and store designs while keeping performance and usability as primary considerations.