DTN/Expertise/PIM & Product Data
Practice · 05

PIM & Product Data

One source of truth for everything you sell — from raw supplier data to multi-channel, multi-locale, ready-to-publish product content.

When the same product exists — slightly differently — in a spreadsheet, the ERP, the storefront and three marketplaces, every channel drifts and every launch is slow. A PIM fixes that: one governed source of truth for product data, syndicated everywhere you sell. We implement Akeneo, design the family, variant and attribute model so merchandising can move fast, and build the governance — workflows, completeness rules, approval gates — around it.

Inbound, supplier feeds are normalized, de-duplicated and enriched — garbage in, gold out. Outbound, the same PIM syndicates to the storefront, marketplaces, Google Shopping and retail partners. AI enrichment (descriptions, translations, image tagging) speeds the work, always behind editorial review.

What we ship

How pim & product data comes to life.

/ 01

Akeneo PIM

Implementation, governance, workflows. The platform we trust most for serious product data.

/ 02

Data modelling

Family / variant / attribute design that scales — and lets merchandising move fast.

/ 03

Supplier feeds

Inbound feeds normalised, deduped, enriched. Garbage in, gold out.

/ 04

Channel syndication

Storefront, marketplaces, Google Shopping, retail partners — all from the same PIM.

Tech we use

The stack.

Akeneo PIMAkeneo ConnectorsMagentoShopifyMedusaGoogle ShoppingCSV & API feeds
Questions

Common questions.

Do we actually need a PIM?

If product data is edited in more than one place, or channels drift out of sync, yes. Below a few thousand simple SKUs you may not — and we'll say so.

Which PIM do you recommend?

Akeneo — it's the platform we trust most for serious product data, and we've built connectors for it in production.

Can a PIM feed more than our website?

That's the point — one PIM syndicates to your stores, marketplaces, Google Shopping and retail partners from the same governed data.

How does AI fit in?

For description generation, translation and image tagging at catalog scale — always with editorial review, never auto-published unchecked.

Get in touch

Let's build something worth scaling.

Book a 30-minute call. We'll listen first, propose second — and tell you if we're not the right fit.