Add Klevu AI-led eCommerce search and merchandising to Commercetools so shoppers can use natural language, get relevant results, and see recommendations shaped by synonyms and rules that lift conversion.
• Product data is read from commercetools via the API and transformed into Klevu index fields such as title, description, categories, attributes, images, and brand.
• Variant-level values in commercetools (SKUs, options, barcodes, and per-variant attributes) are mapped to Klevu records to keep search and filters consistent.
• Locale-specific fields from commercetools are mapped to language-specific Klevu fields, supporting localized search, synonyms, and merchandising rules per market.
• Inventory and availability signals are synchronized when present in the commercetools data model, so out-of-stock handling and ranking inputs reflect current sellability.
• Delta updates send only changed products after create, update, or delete events, and the Klevu index is updated accordingly to reduce reindexing load.
• Query analytics and click signals are collected in Klevu, and the resulting relevance configuration is applied at search time while commercetools remains the source of truth for product data.
• Sync jobs validate required fields, log processing outcomes per product, and route errors to a retry queue to prevent partial index updates.
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We map commercetools product types, variants, attributes, categories, and pricing into a Klevu feed or API sync, then validate indexing and query results. The goal is consistent results, even when product data lives across composable services.
Yes – Klevu can use natural language queries, synonym dictionaries, boosts, and rule-based merchandising on top of commercetools catalog data. We help set up the tuning model so merch changes don’t require releases.
They can, as long as you expose the right signals for stock status and price logic. We design the data flow so recommendations and search results reflect what shoppers can actually buy.
We align Klevu indexes to commercetools stores, channels, and locales, including language-specific attributes and synonyms. This keeps search relevance stable across markets without mixing data between storefronts.
We implement event tracking for search queries, zero-results, click-through, add-to-cart, and revenue attribution, then report on uplift opportunities. Our data team has delivered 575+ eCommerce BI dashboards, so insights don’t get stuck in raw logs.




