AI for Pimcore

AI enrichment and translation for your Pimcore instance

Pimcore is a powerful open-source data platform: flexible classes, DAM, MDM, all in one. What it isn't is an AI content engine. WISEPIM works alongside Pimcore, runs your products through AI enrichment and 93+ language translation, then writes the cleaned data back through Pimcore's REST or GraphQL API. Keep your custom classes, your DAM, your PHP extensions. Add the AI layer Pimcore doesn't include.

Key features

REST+GQL
Pimcore native

Pimcore stays in control

Your custom data objects, your asset model, your inheritance trees: none of it changes. WISEPIM reads via REST, GraphQL, or scheduled CSV, working inside your existing Pimcore class structure.

AI
AI workflows

AI work Pimcore Studio doesn't do

Generate brand-voice copy, fill missing attributes from EAN, validate GTINs, structure specs into machine-readable fields. The depth Pimcore's marketplace add-ons rarely reach.

93+
languages

93+ languages with brand voice

Pimcore handles localized fields; WISEPIM does the actual translation. Knowledge Library carries your brand voice across every locale, replacing manual translation or agency spend.

Two-way
round-trip sync

Round-trip via REST, GraphQL, or CSV

Pull from any Pimcore endpoint: REST, GraphQL, or scheduled exports. Enrich and translate in WISEPIM. Push back into the same data objects, same asset relations, same locales.

Save 80% Time
Higher Conversions
Fewer Returns

Why teams add WISEPIM on top of Pimcore

Pimcore gives you everything you need to build a custom data backbone. It just doesn't do the AI content work, and most marketplace add-ons fall short. WISEPIM fills that gap.

Keep your PHP extensions and DAM

You picked Pimcore for the customization. WISEPIM doesn't replace any of it. Your bundles, your data classes, your asset workflows all keep running. The AI layer just plugs in alongside.

Skip the in-house AI build

Pimcore's flexibility tempts teams to build AI on top themselves. That means months of infrastructure work, fine-tuning prompts, testing outputs, and ongoing maintenance. WISEPIM is the AI layer already built for you, and it stays current as AI capabilities improve.

More content depth than Pimcore Copilot

Pimcore Copilot adds basic AI assistance. WISEPIM is a purpose-built AI catalog layer: brand-voice content via Knowledge Library, EAN-based enrichment, GTIN validation, channel-specific Content Logic, and 93+ language translation at a depth Copilot doesn't reach.

The AI work your Pimcore catalog is missing

The AI work that runs alongside your Pimcore data objects, captured straight from the app.

AI descriptions

AI writes complete, on-brand descriptions for the attributes Pimcore left thin.

93+ language translation

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

Connect Pimcore

Pull products via Pimcore's API, enrich in WISEPIM, then write the results back.

What Pimcore does well vs. what WISEPIM adds

Two complementary tools, not a replacement.

 Pimcore (data backbone)+ WISEPIM (AI layer)
Custom data classes / DAMPimcore's strength, keep using itRead directly, don't override
PHP customization & extensionsYour bundles stay liveUntouched
AI content generationBuild in-house or basic CopilotAI in your brand voice, all attributes
Translation at scaleManual or DeepL bundle93+ languages, brand-voice consistent
GTIN / EAN validationCustom code or noneLive validation + EAN-based enrichment

How WISEPIM connects to Pimcore

Three integration paths. Pick whichever matches your stack.

1. Connect Pimcore (REST, GraphQL, or CSV)

Use Pimcore's REST or GraphQL API for live two-way sync, or push scheduled CSV exports. WISEPIM reads your data classes, asset relations, and localized fields as they exist today.

2. Enrich, translate, validate in WISEPIM

Run AI product enrichment on thin attributes. Translate into 93+ languages with Knowledge Library brand voice. Validate GTINs against GS1. Generate channel-specific copy with Content Logic.

3. Push enriched data back into Pimcore

Cleaned, translated, validated values flow back into the same data objects, attributes, and locales. Your storefront or channel sync picks up the enriched data on the next update.