Product model
Define which fields, identifiers, variants, categories, stock and commercial context search needs.
Product data →Custom commerce
Search without being dependent on a standard online store platform.
Use Findoviq as a standalone search & discovery capability alongside a custom commerce platform. The integration is designed around your own product model, frontend, API boundaries, events and release process.
Four core contracts
Make customization predictable by explicitly designing boundaries.
Search-API
Capture query, filter, sorting, and result behaviors for the channels that use search.
Developer Center →Frontend
Decide for yourself how autocomplete, results, filters, states and error handling are built up in the storefront.
Search UX →Events
Make searches, product clicks, and any conversions consistently measurable.
Analytics →Phased expansion
Start with reliable core search and add complexity controlled.
Relevance first
Make exact product, brand and category terms reliable before adding wider matching.
Search Quality →AI Search
Add semantic understanding where natural language demonstrates extra value.
AI Search →Merchandising
Introduce commercial steering with clear guard rails and measurable goals.
Merchandising →Operations
Keep track of index freshness, latency, releases, event health and rollback capabilities.
Operations →Implementation fit
Use the existing architecture as a starting point.
With customization, the solution must fit your product sources, frontend, deployment model and ownership. Generic integration claims are not enough for that.
LowQuestionRoute
DataWhich source is leading?Product data
APIWhich search interactions are needed?Developers
FrontendWho manages presentation and state?Search UX
OperationsHow are changes safely rolled out?Operations