
Enterprise AI search for e-commerce

Enterprise AI search for e-commerce
SearchX engine is a software tool designed to provide AI-powered search functionality for e-commerce websites. Its primary function is to deliver accurate and relevant product search results by analyzing customer intent rather than relying solely on keyword matching. The system uses AI embeddings to understand the meaning behind search queries, handling variations such as typos, wrong keyboard layouts, and Greeklish transliteration. It integrates with online stores through a simple setup process: product data is imported from feeds like Google Merchant Center, Facebook Catalog, or Skroutz XML, and a single JavaScript snippet is added to the website. The entire deployment can be completed in approximately five minutes, with no backend code modifications required. Key features of SearchX engine include automatically generated filters such as brand, category, and price range sliders, which are created from the imported product data. The search interface supports customizable CSS, translation options, configurable ranking rules, synonyms, and business rules, all managed through an admin panel without frontend rebuilds. Built-in analytics track searches, clicks, and conversions using anonymous session data (localStorage-based, 30-minute sessions, no personally identifiable information), complying with GDPR requirements. The tool is designed to work with any platform, including Next.js, React, HTML, OpenCart, WooCommerce, Shopify, and custom solutions. Product data synchronizes hourly, daily, or on demand. Pricing is a flat rate of 49 euros per month for up to 20,000 products, covering approximately 99 percent of stores. Typical use cases involve e-commerce merchants seeking to improve product discovery without dedicating significant development resources. The workflow consists of three steps: connecting a product feed, embedding the search widget via the JavaScript snippet, and then monitoring search performance through the built-in analytics. The system is positioned as a plug-and-play alternative to more complex search solutions like Algolia, requiring minimal setup and no ongoing frontend work. It is suitable for stores of various sizes that need fast, relevant search results and want to maintain control over the search experience without custom coding.