Enrich your data and catalogs with AI: more complete, better contextualized, instantly actionable.
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Enrich your raw data using generative AI.
Even when cleaned, your data often remains incomplete: empty fields, partial product catalogs, scattered client information. These gaps limit your analyses and reduce the relevance of your decisions. AI-driven enrichment works on two fronts: internal (making your own data talk to each other, breaking silos) and external (adding new information from reliable sources: open data, APIs, benchmarks). The result: more complete, contextualized, and ready-to-use datasets — without manual effort.
Product sheets, CRM contacts, equipment… AI performs a targeted diagnostic to identify missing, inconsistent, or poorly formatted fields. This step helps prioritize the most useful enrichments based on your business needs (catalog, CRM, logistics, compliance, etc.).
Product categories, client types, business families: clear organization is essential for navigating your data. AI automatically suggests coherent groupings or subcategories that enhance your internal taxonomies without distorting them.
Empty or partial fields (titles, descriptions, technical attributes, SEO tags…) are completed automatically with generative AI. Each addition is coherent, traceable, and can be reviewed or validated by your teams before integration.
Your data is automatically translated into multiple languages (EN, FR, DE, ES…) and adapted to local specifics (units of measure, currencies, business terminology). This ensures efficient and reliable international distribution of your catalogs.
AI cross-references your internal data (historical, CRM, ERP) with reliable external sources (open data, industry databases, market benchmarks). New fields are generated automatically, adding valuable context for your decisions: standards, geographies, market trends, and more.
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