Product data
Make categories, brands, variants, properties, stock and relevant identifiers usable for search.
Product data →BigCommerce
Search & discovery for scalable BigCommerce online stores.
Use Findoviq as a specialized search layer in addition to BigCommerce when catalog growth, multiple storefronts or markets and active optimization place higher demands on product findability.
Integration base
Bring catalogue, storefront and events into one scope.
Storefront
Match autocomplete, results and filters to the storefront or headless frontend used.
Search UX →Events
Measure queries and product clicks consistently if analytics and conversion are part of the review.
Analytics →Updates
Capture how catalog, price and stock changes end up in the search index in a timely manner.
Operations →For further scale
Grow relevance, commerce context and measurability together.
AI Search
Use semantic understanding of natural language alongside exact product, brand and category terms.
AI Search →Merchandising
Send campaigns and product priorities with clear boundaries around basic relevance.
Merchandising →International
Maintains market context for language, assortment, ranking and analysis.
International →Multi-store
Work centrally where possible and separated where storefronts or assortments differ.
Multi-store →Discuss your real BigCommerce device.
Use catalog data, storefront architecture, markets and measurement goals as a starting point for the technical and functional fit.