Product data
Determine which product projections, variants, categories, attributes, prices, stock and identifiers go to search.
Product data →Composable commerce
Search & discovery for commercetools architectures.
Use Findoviq as a specialized search layer within a composable stack. Practical integration is all about clear contracts for product data, search-APIs, storefronts, events and market context.
Integration contracts
Make responsibilities between components explicit.
Search-API
Define query, filter, sorting and result behavior independently of the storefront.
Developer Center →Storefront
Tune into autocomplete, results, filters, states and error handling on the frontend that consumes search.
Search UX →Events
Make search, click and conversion events consistent if analytics and attribution are part of the scope.
Analytics →Composable control
Allow components to evolve independently without losing sight of search quality.
Multi-market
Maintain market and store context for assortment, language, ranking and merchandising.
International →AI Search
Add semantic understanding where natural language adds value alongside exact product and brand terms.
AI Search →Merchandising
Drive campaigns and product priorities as a controlled layer on top of basic relevance.
Merchandising →Operations
Monitor index freshness, latency, releases and event health separate from the lifecycle of one frontend.
Operations →Technical fit
Assess the linking to data and API boundaries.
In composable commerce, a platform name is not enough. Use your real product model, storefront architecture, event flows and responsibilities as the basis for the implementation scope.
LowQuestionRoute
DataWhat source and fields are leading?Product data
APIWhat interactions does the frontend need?Developers
EventsWhich behavioral data is reliable?Analytics
StoresWhere should context remain separate?Multi-store