The Best eCommerce Search Engine for Your Store
Shoppers who can't find what they're looking for leave. A high-performing ecommerce site search engine that understands natural language, surfaces relevant products, and adapts to user intent is one of the highest-ROI investments any online retailer can make.
BigData Boutique's search engineers design, build, and tune ecommerce product search engines on top of OpenSearch and Elasticsearch—delivering semantic product discovery, intelligent faceted search, and AI-powered personalization that convert browsers into buyers.
As an AWS Advanced Consulting Partner with 13+ years of search technology experience, we have optimized ecommerce search for retailers serving millions of shoppers daily.
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Trusted By
15+yrs
of Search Engineering Experience
35%
Average Conversion Lift
100+
Search Platforms Optimized
The Challenge
Most ecommerce platforms ship with keyword-only site search that returns zero results when shoppers use natural language, synonyms, or misspellings. When a shopper searches “comfy running shoes for flat feet” and gets nothing back, they leave—and your conversion rate pays the price. Studies consistently show that site search users convert at 2–5x the rate of non-searchers, making the quality of your ecommerce search engine a direct lever on revenue.
Beyond basic relevance, modern ecommerce search engines must deliver intelligent faceted navigation, personalized ranking, real-time autocomplete, and the ability to handle catalog sizes ranging from thousands to hundreds of millions of SKUs—all with sub-100ms response times. Achieving this requires deep expertise in both search engineering and the ecommerce domain.
eCommerce Search Capabilities
We Deliver
A best-in-class ecommerce search engine is more than a search box. Here are the capabilities we implement for online retailers.
Semantic Product Search
Shoppers find products even when their query doesn't match catalog terminology. Vector embeddings and hybrid BM25+semantic ranking surface the right products for natural language queries, dramatically reducing zero-result searches.
Intelligent Faceted Navigation
Dynamic facets that adapt to the result set, attribute extraction from unstructured product descriptions, and smart category disambiguation guide shoppers to their ideal product through intuitive filtering and refinement.
Autocomplete & Suggestions
Real-time search suggestions, query completion, and “did you mean” spelling correction that guide shoppers toward high-converting queries before they finish typing—reducing abandonment and increasing engagement.
Personalized Ranking
Learning-to-rank models trained on your clickstream and purchase data surface products each individual shopper is most likely to buy. Business rules integrate seamlessly to boost margins, promote inventory, and pin featured products.
Multi-Catalog & Multilingual
Support for massive catalogs with millions of SKUs across multiple languages, currencies, and regional storefronts. Language-aware analyzers, synonyms, and locale-specific ranking ensure relevance for every market you serve.
Search Analytics & A/B Testing
Query analytics that reveal what shoppers search for, where they fail, and how ranking changes impact conversion. Structured A/B testing infrastructure makes search improvements measurable and continuously iterative.
The BigData Boutique
Solution
BigData Boutique's search engineers have designed and optimized ecommerce product search engines for retailers at every scale, from boutique stores to high-traffic marketplaces. We build on OpenSearch and Elasticsearch to deliver the best ecommerce search experience for your catalog and your shoppers.
Search Audit & Strategy
We analyze your current ecommerce site search implementation, query logs, and user behavior to identify the highest-impact improvements. We deliver a prioritized roadmap with clear ROI estimates for every proposed change.
Full-Stack Implementation
From index mapping and analyzer configuration to query pipeline design and frontend integration, we build production-ready ecommerce search engines that handle catalog updates in real time and scale to millions of queries per day.
Relevance Tuning
Relevance is never “set and forget.” We implement data-driven relevance tuning workflows—using click-through data, purchase signals, and A/B tests—to continuously improve search quality and keep your ecommerce search engine performing as your catalog evolves.
Ongoing Support & Optimization
Your search platform needs to evolve with your catalog and your customers. We offer ongoing support retainers that include proactive monitoring, quarterly relevance reviews, and rapid response to search regressions during peak traffic periods.
Why Choose BigData Boutique
Ecommerce Search Specialists
We don't just know search engines—we know ecommerce search. From synonym management and attribute extraction to catalog hierarchies and inventory-aware ranking, our engineers have solved every ecommerce search challenge at scale.
OpenSearch & Elasticsearch Depth
As the top OpenSearch consulting partner globally, we have deeper knowledge of OpenSearch and Elasticsearch internals than virtually any other firm. That depth translates to better-performing search engines built in less time.
Measurable Business Outcomes
We tie every search improvement to business metrics you care about: conversion rate, revenue per search, zero-result rate, and average order value. Our engagements are designed to deliver measurable ROI, not just better search scores.
AI-Ready Architecture
We architect ecommerce search platforms that are ready for AI integration from day one—with support for vector embeddings, LLM-powered query understanding, and agentic shopping assistants that represent the next generation of ecommerce product discovery.
Ready to Build a Best-in-Class eCommerce Search Engine?
Schedule a free consultation with our ecommerce search experts. We'll review your current search implementation, identify the highest-impact improvements, and outline a path to a search experience that converts.