AI for Akeneo

The AI layer Akeneo doesn't ship with

Akeneo is excellent at families, attributes, governance, and channel routing. It's not a content generator, a translator, or an enrichment engine. WISEPIM runs alongside Akeneo, takes your catalog through AI enrichment and 93+ language translation, then writes the cleaned data back through the Akeneo API. Akeneo stays your source of truth. The AI work happens in WISEPIM.

Key features

API+CSV
Akeneo native

Akeneo stays your source of truth

Your family/attribute model, your governance rules, your channel mappings: none of it changes. WISEPIM reads from Akeneo via REST API or CSV export, and never touches your structure.

AI
AI workflows

AI enrichment Akeneo can't do

Generate on-brand descriptions, fill missing attributes from EAN, validate GTINs, and turn specs into structured fields. The work that makes your Akeneo data ready to sell and ready to scale.

93+
languages

93+ languages, brand voice intact

Akeneo handles locales. WISEPIM does the actual translation. Your Knowledge Library carries your brand voice into every language, so French, German, and Spanish output reads like your own copywriter wrote it.

Two-way
sync path

Two-way sync via API or CSV

Pull products via Akeneo's REST API or a scheduled CSV export. Enrich and translate in WISEPIM. Push the cleaned values back into the same SKUs, attributes, and locales.

Save 80% Time
Higher Conversions
Fewer Returns

Why teams add WISEPIM on top of Akeneo

Akeneo's customers love the data model. They just wish it came with the AI. WISEPIM fills that gap.

Stop paying agencies to write copy

Most Akeneo teams pay copywriters or translation agencies for the work Akeneo doesn't do. WISEPIM replaces that cost: AI generates a first draft in your brand voice, your team approves, and Akeneo stores the final result.

Don't throw away years of Akeneo setup

You spent quarters configuring families, attribute groups, channels, and locales in Akeneo. None of that is wasted. WISEPIM reads it as-is and works inside your existing model.

Add AI without an Akeneo upgrade project

Akeneo's own AI features arrive slowly and sit behind paid tiers. WISEPIM ships AI enrichment and translation today, runs alongside any Akeneo edition (CE, EE, SaaS), and doesn't require an Akeneo version update.

The AI work your Akeneo catalog is missing

The AI work that runs alongside your Akeneo catalog, captured straight from the app.

AI descriptions

AI writes complete, on-brand descriptions for the products Akeneo left thin.

93+ language translation

Translate every product into 93+ languages with your brand voice intact.

Akeneo round-trip

Connect Akeneo via REST API, enrich in WISEPIM, then write the results back.

What Akeneo does well vs. what WISEPIM adds

Two complementary tools, not a replacement.

 Akeneo (source of truth)+ WISEPIM (AI layer)
Family / attribute modelAkeneo's strength, keep using itRead directly, never overridden
Channel sync (Magento, Shopify, marketplaces)Akeneo's connectors do this wellUntouched
AI content generationManual / agency / Akeneo PXM Studio (limited)AI in your brand voice, all attributes
Translation at scaleManual locales or paid translation add-on93+ languages, brand-voice consistent
GTIN / EAN validationManual, on importLive validation + EAN-based enrichment

How WISEPIM connects to Akeneo

Two integration paths. Pick one, or run both.

1. Connect Akeneo (API or CSV)

Use Akeneo's REST API for live two-way sync, or push scheduled CSV exports if API access is restricted. Either way, WISEPIM reads your products, families, attributes, and locales exactly as they are in Akeneo today.

2. Enrich, translate, and validate in WISEPIM

Run AI enrichment on any attributes that are thin. Translate into 93+ languages. Validate GTINs against GS1. Generate channel-specific copy with Content Logic. All within Akeneo's family and attribute model.

3. Push enriched data back into Akeneo

Clean, translated, validated values flow back into the same SKUs and attributes in Akeneo. Your channel sync (Magento, Shopify, marketplaces) picks up the enriched data on its next run, with no extra integration work.