Ecommerce product discovery services
Help shoppers find the right products faster, even when they do not know exactly what to search for.
XCentium designs and implements product discovery experiences across search, browse, navigation, filtering, recommendations, merchandising, and AI-enabled shopping. We connect discovery with product data, customer behavior, commerce platforms, and experience design to make complex catalogs easier to explore and purchase from.
Make your product catalog easier to shop
Customers do not always arrive knowing the exact product name or SKU they need. They may search by a problem, browse a category, compare options, apply filters, follow a recommendation, or ask a question in natural language.
When product data, taxonomy, search relevance, navigation, and merchandising do not work together, customers can struggle to find products that are already in the catalog.
We help improve the systems and experiences that connect customer intent with the right products.
How we help with product discovery
Product discovery strategy & experience design
Understand how customers search, browse, compare, and select products and design the discovery experience around those behaviors.
Platform implementation & integration
Implement and integrate product discovery and search platforms with commerce, product data, catalogs, customer signals, content, analytics, and other systems that shape the shopping experience.
Product data & taxonomy
Improve the product attributes, metadata, categories, and taxonomy required to power relevant search, filtering, navigation, and recommendations.
Search relevance, navigation & filtering
Tune search results around customer intent and create navigation, filters, and facets that help customers narrow large catalogs using relevance rules, synonyms, ranking, metadata, taxonomy, and business logic.
Recommendations & merchandising
Use recommendations, related products, business rules, customer behavior, and merchandising strategies to expose relevant products beyond direct search.
AI-enabled discovery & optimization
Apply semantic search, conversational interfaces, natural-language queries, and other AI capabilities where they improve discovery, then use behavior and analytics to refine performance over time.
Common challenges we help solve
Customers cannot find products that exist in the catalog
Poor or irrelevant search results
High zero-result search rates
Large or complex product catalogs
Inconsistent product attributes and taxonomy
Filters that do not match how customers shop
Limited recommendations or cross-sell opportunities
Merchandising that requires too much manual effort
Limited visibility into product discovery behavior
Case Study
Horizon Discovery
We partnered with Horizon Discovery to unify two websites on Sitecore and improve product discovery across a global ecommerce experience.
Search across 160 million SKUs
Built custom Solr faceted search for a complex scientific catalog.
Unified digital experience
Combined Horizon and Dharmacon content, functionality, and design.
Connected purchasing
Supported product search, quote requests, cart activity, and checkout.
Responsive experience
Created mobile-friendly journeys for researchers across devices.
Related assessments & offers
Commerce experience assessment
Identify opportunities to improve conversion, operational efficiency, and scalability across your commerce ecosystem.
Platform value realization assessment
Identify untapped platform capabilities that improve customer experiences, efficiency, and return on technology investments.
Frequently asked questions
Product discovery is the process customers use to find and explore products across search, categories, navigation, filters, recommendations, merchandising, and other shopping experiences. The goal is to connect customer intent with relevant products as efficiently as possible.
XCentium provides ecommerce product discovery services across strategy, experience design, product data and taxonomy, search implementation, relevance tuning, filters and facets, recommendations, merchandising, AI-enabled discovery, analytics, and optimization.
Site search is one component of product discovery. Product discovery also includes browsing, categories, filtering, recommendations, merchandising, related products, behavioral signals, and other ways customers encounter and evaluate products.
Yes. Large catalogs often require stronger product data, taxonomy, indexing, relevance, navigation, filtering, and system integration. XCentium has experience designing search and commerce environments that support large and complex product assortments.
AI can help interpret natural-language and semantic intent, support conversational product exploration, improve recommendations, and provide new ways for customers to find relevant products. The quality of the experience still depends heavily on accurate product data, attributes, inventory information, and business rules.
XCentium works with enterprise search and product discovery technologies including Coveo, Constructor, and Algolia. We integrate these platforms with commerce systems, product information, inventory, customer signals, and experience design to support more relevant discovery.
Make products easier to find
If customers are struggling to navigate your catalog or discover relevant products, we can help improve the data, technology, and experience behind product discovery.