Product Data
Data strategy for AI in fashion: what to fix first
Most fashion AI projects stall on data, not algorithms. Here is which data matters most, what to fix first and how to make product, inventory and sales data ready for AI.
AI for fashion product data: attributes, tech packs and enrichment at scale
Webshops, marketplaces, wholesale partners and AI shopping assistants all depend on complete product data. How AI extracts attributes, writes descriptions and checks records, and where humans stay in the loop.
How can AI help fashion brands prepare for the Digital Product Passport?
The EU Digital Product Passport turns product data into a regulated deliverable. AI can help collect, check and structure that data, but it cannot invent what suppliers never recorded.
PIM explained: why product data is a fashion brand's hidden asset
A product information management system holds the content that sells: descriptions, attributes, images and translations. Here is why it matters for every channel, wholesale included.
Product master data: the unglamorous key to digital fashion
Style numbers, colour codes, size scales and identifiers decide whether showrooms, portals, feeds and invoices work. A practical guide to getting product master data right.
Sharing sustainability data with retail partners: a practical guide
Retailers increasingly ask brands for material, origin and certification data per product. What they need, how to structure it and how to keep claims consistent across channels.