Amazon Personalize vs Relewise

Amazon Personalize is a managed machine-learning service that uses customer data to create item recommendations and user segments. It supports personalized recommendations, ranked results, similar items, personalized search, user segmentation, Trending Now, and Next Best Action. Recommendations can be returned in real time or prepared in batches for bulk workflows. Its user-personalization recipe supports training on up to 3 billion interactions and 5 million unique items. Inference is available through the getRecommendations and getPersonalizedRanking APIs; an OpenSearch v2.9-and-later plugin personalizes search results in real time. Integrations include Amazon S3, SageMaker AI Data Wrangler, AWS Amplify, CloudWatch, CloudTrail, Amplitude, Braze, Optimizely, and Segment. AWS states that data is encrypted and each customer account’s models remain separate. The service is available on Android, iOS, web, and through an API. The AWS Free Tier is free for the first two months of usage; pay-as-you-go has no minimum fees or upfront commitments, with specific rates varying by usage.

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.