Search is the highest-intent action on any eCommerce site — and the most underinvested. We've optimized search and personalization systems at three of the world's largest online marketplaces, driving billions in measurable GMV impact. We bring that same rigor to your product discovery experience.
A shopper searches "lightweight laptop for travel" and gets back every laptop sorted by popularity. Another searches "gifts for dad under $50" and sees irrelevant results because your system doesn't understand intent, price constraints, or occasion context. A third misspells a brand name and gets zero results.
Each failed search is an abandoned session. Each irrelevant result page is a conversion that never happens. The data shows that up to 30% of eCommerce revenue flows through site search, yet most retailers treat it as a utility feature rather than a revenue engine.
The best eCommerce search systems don't just match keywords to product titles. They understand what the shopper is trying to accomplish, interpret their query in the context of your catalog, and surface the products most likely to convert — personalized to that specific user's behavior and preferences.
Done right, AI-powered search and personalization becomes your most productive "salesperson" — one that handles millions of simultaneous customers, learns from every interaction, and never takes a day off. The result: measurably higher conversion rates, AOV, and customer lifetime value.
Our systems classify and interpret search queries beyond surface keywords. We distinguish between navigational intent ("Nike Air Max 90"), transactional intent ("running shoes under $100"), and exploratory intent ("best shoes for plantar fasciitis") — and optimize the result experience for each.
We build product understanding that goes beyond title matching to incorporate attributes, descriptions, reviews, and visual features. When a shopper searches "cozy winter jacket," the system understands warmth, material, and style — not just the word "jacket."
Two shoppers searching the same query should see different results based on their behavioral signals, purchase history, and inferred preferences. We build ranking systems that learn individual patterns and optimize for conversion at the user level, not just the query level.
Your product data is the foundation of search quality. We build automated pipelines that enrich product attributes, normalize inconsistent catalog data, generate optimized product descriptions, and identify gaps in product information that degrade search performance.
AI search must work with your business rules, not against them. We design systems that balance algorithmic relevance with merchandising objectives — supporting promoted products, inventory-aware ranking, margin optimization, and seasonal strategies without sacrificing user experience.
We instrument every layer of the search funnel — from query entry through result impression to click, add-to-cart, and purchase. This data powers continuous optimization loops and gives your merchandising team actionable insights into what shoppers want but can't find.
Complete overhaul of the search experience — from query processing and spelling correction through relevance ranking and result presentation. We audit your current search performance, identify the highest-impact gaps, and implement improvements that directly move conversion metrics.
Category pages are search results too — just without a query. We optimize product ordering within category and browse pages using the same relevance and personalization signals, turning passive browsing into active discovery and significantly increasing pages-per-session and conversion.
Context-aware recommendation systems for PDPs, cart pages, email, and homepage. We go beyond "customers also bought" to build recommendations that understand complementarity, substitutability, style affinity, and purchase timing — driving measurable increases in AOV and units per order.
Automated extraction and normalization of product attributes from vendor feeds, images, and unstructured descriptions. We build pipelines that transform messy supplier data into structured, search-optimized product information — improving both search quality and catalog completeness at scale.
Comprehensive assessment of your current search performance with specific, quantified opportunities ranked by revenue impact potential.
Production-deployed search ranking system with intent classification, semantic matching, and personalization — integrated with your existing catalog and eCommerce platform.
Search performance monitoring with funnel analysis, query-level metrics, zero-result tracking, and revenue attribution — giving your team the data to optimize continuously.
Experimentation infrastructure for testing ranking changes, personalization strategies, and merchandising rules — with statistical rigor to make confident, data-driven decisions.
Share your site and we'll run a complimentary search audit — identifying the specific gaps costing you conversions and the improvements that will move revenue fastest.
Request a Free Search Audit