Implement eCommerce Search Engine on OpenSearch and Elasticsearch

BigData Boutique designs, builds, and optimizes eCommerce product search engines on Amazon OpenSearch Service, self-managed OpenSearch, and Elasticsearch — delivering semantic product discovery, intelligent faceted search, and AI-powered personalization that convert browsers into buyers. Site search users typically convert at 2–5x the rate of non-searchers, making a high-performing eCommerce search engine one of the highest-ROI investments any online retailer can make.

The engagement is built around four pillars: a search audit and strategy (analysis of current implementation, query logs, and user behavior with a prioritized roadmap and ROI estimates); full-stack implementation (index mapping, analyzer configuration, query pipeline design, and frontend integration for production-ready search handling real-time catalog updates); data-driven relevance tuning (click-through data, purchase signals, A/B testing); and ongoing support and optimization with proactive monitoring and rapid response during peak traffic.

Capabilities delivered include semantic product search via vector embeddings and hybrid ranking, intelligent faceted navigation with dynamic filtering, real-time autocomplete and spelling correction, personalized ranking with learning-to-rank models, multi-catalog and multilingual support, search analytics, A/B testing infrastructure, and AI-ready architecture with LLM-powered query understanding and agentic shopping assistants.

As an AWS Advanced Consulting Partner and the top OpenSearch consulting partner globally, BigData Boutique brings deep eCommerce search expertise — synonym management, attribute extraction, catalog hierarchies, inventory-aware ranking — and a track record that includes Wix, eBay, 1-800-Flowers, AT&T, Yotpo, and 20+ other enterprise brands. Customers see a 35% average conversion lift and sub-100ms response times across millions of daily queries.

Learn more: Implement eCommerce Search Engine .