AI Search and Discovery: Building Smart Product Recommendations

Executive Summary

AI search systems enhance product recommendations by combining structured and unstructured data, boosting conversions by 15-30%. These systems use semantic understanding to interpret query meanings, enabling real-time personalization that drives significant revenue. The article discusses various platforms like Algolia, Elasticsearch, and Bloomreach, and emphasizes the importance of monitoring key metrics to optimize performance. Techniques such as tokenization, vectorization, and semantic analysis are highlighted as essential for effective AI-driven search and discovery.