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DL-059 · Case study

AI-assisted product localization across European marketplaces

A fashion brand managing thousands of product variations needed a controlled way to prepare marketplace content across multiple languages and regional catalogues.

Client
Name withheld
Location
Italy
Industry
Fashion and luxury accessories
Capabilities
03Build04Secure
01

Challenge

  • Product descriptions were translated manually.
  • Size systems, materials and marketplace attributes were inconsistently represented.
  • Generative AI experiments lacked review, terminology control and auditability.
02

Environment

  • Akeneo PIM, Shopify and marketplace catalogue exports.
  • Multilingual product information across European markets.
  • Internal brand terminology and legal product descriptions.
03

Intervention

  • Built an AI-assisted enrichment pipeline using approved PIM attributes.
  • Introduced controlled terminology, language-specific prompts and structured outputs.
  • Added validation for product facts, forbidden claims and required marketplace attributes.
  • Established human approval and version tracking before catalogue publication.
04

Outcome

  • Repeatable multilingual catalogue preparation.
  • Human-reviewed AI content grounded in existing product data.
  • Clear audit trails for generated and published product descriptions.
PIM master data → AI enrichment → Attribute validation → Human approval → Localized catalogue exports.PIM DATAAkeneoAI ENRICHMENTPromptsVALIDATIONFacts / claimsHUMAN REVIEWApprovalCATALOGUESLocalized
  1. 01PIM DATAAkeneoAI ENRICHMENTPrompts
  2. 02AI ENRICHMENTPromptsVALIDATIONFacts / claims
  3. 03VALIDATIONFacts / claimsHUMAN REVIEWApproval
  4. 04HUMAN REVIEWApprovalCATALOGUESLocalized
Fig. 01Product content workflowPIM master data → AI enrichment → Attribute validation → Human approval → Localized catalogue exports.Scale NTS

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