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Enterprise Layer Intelligence
Categories/Ecommerce/Vody
Vody

Vody

Founded 2016

Enrich retail product catalog data to improve search, shopping agents, and ad targeting

You can use Vody to update and enrich your retail product catalogs with missing data signals needed by modern search engines and discovery channels. It generates missing product attributes, keywords, and standardized taxonomy categories for internal search systems like Algolia and Bloomreach. Vody also formats product feeds for external channels such as Google Merchant Center, automated ad campaigns, and emerging generative shopping agents. By bridging the gap between raw catalog data and search algorithms, it helps retailers surface relevant items and boost conversion rates.

What Vody does

Generate descriptive product attributes from catalog images and textMap inventory items to standardized retail taxonomiesSync enriched product data to on-site search enginesStructure product feeds for Google Merchant CenterAudit ecommerce catalogs for missing search signalsRefine ad feed metadata for automated marketing campaignsEnriches product catalogs with missing attributes and keywordsStandardizes taxonomy across complex retail inventoriesConnects directly with search engines like Algolia, Bloomreach, and OpenSearchPrepares product feeds for Google Merchant Center and shopping agentsImproves product catalog quality for Google Performance Max ad campaignsApplies generative engine research to improve product discovery

Frequently asked

AlgoliaAlgoliaOpenSearchOpenSearch

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Vody, ecommerce product data, catalog enrichment, on-site search, shopping agents, Google Merchant Center, product feed management, Algolia integration, Bloomreach integration, search relevance, retail catalog, product attributes, automated taxonomy, ad campaign feeds, ecommerce conversion