Connect BigCommerce with Adobe Live Search (Adobe Commerce Live Search) to power SaaS-indexed search, facets, rules, and recommendations that match Adobe ecosystem reporting and merchandising workflows.
• BigCommerce product, category, price, inventory, and attribute data is mapped to the Adobe Commerce Live Search schema for SaaS indexing and query-time retrieval.
• Initial full sync populates the Live Search index, while delta syncs submit only changed records (creates, updates, deletes) based on timestamps or event hooks.
• Facet fields are derived from mapped attributes, with locale- and currency-specific values routed to the correct store view and index context.
• Search rules, boosts, synonyms, and pinned results are applied at query time in Adobe Commerce Live Search, while BigCommerce remains the source of truth for order and checkout flows.
• Product recommendations endpoints consume catalog and behavioral signals available in the Adobe ecosystem, returning ranked product IDs that are resolved to BigCommerce PDP/PLP URLs.
• Sync jobs validate required fields, handle transformation errors with retries, and log payload-level responses for auditing and troubleshooting.
• Index refreshes and partial reindex triggers are handled through the SaaS indexing API, minimizing dependence on BigCommerce batch processes.
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We sync your BigCommerce catalog into Adobe Commerce Live Search, where SaaS indexing powers results, facets, rules, and recommendations. Merchandising changes publish through the index, without BigCommerce theme workarounds.
Typically we map SKU, name, categories, price, inventory, and custom attributes into searchable fields and facet definitions. The exact field model depends on your catalog, variants, and the filtering UX you need.
Yes, recommendations can be rendered in BigCommerce templates or a headless frontend using Adobe’s response data and your placement logic. We also align tracking so clicks and adds-to-cart are measurable.
It can, as long as your BigCommerce store views and product attributes clearly separate locale-specific data. We design indexing feeds and facet logic so customers see the right language, pricing, and assortments.
scandiweb has delivered 2,100+ eCommerce projects and supports 600+ engineers across commerce, UX, and analytics. We QA relevance, facet behavior, and tracking end to end before go-live.










