Constructor vs Relewise

Constructor is a cloud platform for ecommerce search and product discovery, founded in 2015. It uses shopper behavior, context and intent to personalize discovery across search, autosuggest, browse, recommendations, collections, quizzes and retail media. The AI Shopping Agent guides shoppers through natural-language product searches, while the Product Insights Agent answers personalized product questions. Merchant Intelligence Agent and Merchandiser Controls provide merchandising insights, dashboards, reports, controls and experiments. B2B capabilities cover account-segmented pricing and availability, personalization and discovery across large catalogs. Search options include hybrid, vector and faceted search, with zero-result reporting, search conversion tracking and result click analytics. Catalogs can be supplied through connectors, scheduled JSON, JSONL or CSV feeds, or REST API updates. APIs and browser or server-side client libraries support retrieving results, sending behavioral events and updating data or configurations; named client libraries include JavaScript, Swift and Kotlin. Constructor says it reduces personal data exposure using anonymous IDs, IP truncation and hashed identifiers. Pricing is not published; prospective customers are directed to book a demo.

Relewise is a search and personalization platform for B2B and B2C e-commerce, using real-time shopper behavior to tailor results and recommendations. Its self-learning engine adapts rankings and suggestions based on interactions, historical behavior and trends. Predictive search supplies live suggestions and autocomplete as shoppers type. Search uses stemming, compound-word splitting and synonym matching; advanced NLP support covers 28 languages, with default support for other languages. Merchandising rules can boost or bury products and categories, pin products to positions, or filter them from recommendations. Recommendation types include complementary and similar products, trending products and content, and personalized content. Relewise describes itself as headless and API-first, with integrations including Shopify, Salesforce, WooCommerce, PrestaShop, Shopware, Optimizely and BigCommerce. The Search API supports web, app and POS; the Recommendation API supports web, app, email and POS. Its feature list specifies five years of analytics retention, 10,000 merchandising rules and unlimited additional team members. Pricing is tailored to setup, with price on request.