Relewise vs Surprise

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.

Surprise has no write-up on Specifiction yet; its figures are above.