PIM · MDM · DAM
Pimcore — single source of truth for products and digital information
Pimcore unites PIM, MDM and DAM in one platform: instead of dozens of exports from 1C, ERP and Excel, a single source of truth pushes product records to the website, marketplaces and B2B portal with no manual transfer.
Supports modeled attributes with inheritance, plus data quality and semantics control.
PIM / MDM / DAM
Product data should have a single source of truth
The PIM/MDM/DAM block sells faster SKU launches and better data quality: 1C/ERP remain the system of record, PIM becomes a manageable content layer, and DATAREON moves data without point-to-point spaghetti.
Pimcore
Open-source PIM/MDM/DAM without vendor lock-in, with attribute models, DAM, and API channels.
Akeneo
PIM for managing attributes, completeness, workflow, and publishing product cards to channels.
DATAREON
A data bus connects 1C/ERP/PIM/website/marketplaces through a single exchange contract.
Internal links
Sources
Industry solutions
What you can do with Pimcore
Capabilities
Pimcore capabilities
Single source of truth for products and entities
Data from 1C, ERP, suppliers and Excel converges into one model — ending the discrepancies that show customers different prices and specs across the site, marketplaces and B2B portal.
Attribute modeling with inheritance and variants
45+ field types and variant inheritance: shared properties are set once at the family level instead of being duplicated across every SKU — cheaper catalog upkeep with no desync.
Built-in Data Quality Management
Rules, required fields and a real-time completeness report flag which cards can't be published — fewer returns from poor descriptions (source of 34% of returns) and complaints.
DAM: media and content management
Previews for 200+ formats including 3D/AR, with photos and videos tied to products — marketing and sales pull current creative from one place, no folders on drives.
MDM: master data beyond products
Counterparties, suppliers, locations and customers are maintained on the same platform — one reference-data model instead of duplicates in every system.
Omnichannel publishing via REST/GraphQL
Headless data delivery to the website, marketplaces, mobile app, POS and print — a new channel connects fast and content stays consistent everywhere.
Workflows and a role model down to the field level
Approval, statuses and access rights down to a single attribute — content managers, translators and procurement work in parallel without the risk of overwriting each other's data.
Open-source with no vendor lock-in
The source is open and there are no core licensing fees — the solution is transferable and moves easily between teams and contractors, removing single-vendor lock-in.
Catalog scale of tens of thousands of SKUs
The platform holds tens of thousands of items and millions of data objects (PMG — 41,000+ SKUs) — assortment growth isn't capped by Excel and manual work.
Approach
How we implement Pimcore
Minimal core modification
We don't fork or patch the Pimcore core. Pimcore stays on the standard upgradable version — business logic moves into separate microservices alongside it, so platform updates don't break your customizations.
International Standards, Not Homegrown Hacks
Where a mature international solution exists, we use it instead of inventing our own protocol or platform. Before writing code, we study how the problem is already solved in the industry.
Transferability
The solution is loosely coupled and documented: it can be handed over between teams and contractors without rewriting. You are not tied to us.
AI compatibility
Pimcore in the AI loop
Pimcore Copilot — generative AI inside the platform
The built-in Copilot generates channel-specific descriptions, optimizes visuals and helps with data profiling and semantics — content managers clear card-filling routine many times faster.
Connecting any LLM and ML models
The open architecture lets you connect OpenAI, Google, Hugging Face or train your own model on the platform — product enrichment and classification fit your business, not a single vendor.
OpenAI-compatible Chat Completions API
Since version 2025.3 the Copilot runs over an OpenAI-compatible interface — you can plug in your own or a local LLM endpoint, important for environments with data restrictions.
KT.Team AI agents on top of PIM
KT.Team builds ai-native scenarios: agents fill attributes, tag and validate data and serve catalog users — a target minimal-people model for product-data operations.
AI quality control and deduplication
Models detect incomplete, conflicting and duplicate records in the data flow — catalog quality rises without manually auditing thousands of cards.
News
What's new in Pimcore
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Pimcore Platform 2026.1: Studio GA, Admin UI Classic removed, Symfony 7 required
Studio (React/TypeScript) becomes the only interface, all ExtJS is removed, bundle versions are unified. The 2026.x branch requires Symfony 7.4.
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Pimcore Agent Bundle and Agentic PXM: agents as system participants via MCP
AI agents read and propose changes to objects and assets through MCP under the same permissions and workflows as people. All actions go through the Data Spine layer.
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Pimcore Platform 2025.4: experimental MCP server and 3-year LTS
The last release with Admin UI Classic alongside Studio. An experimental MCP server reads data over Elasticsearch/OpenSearch. Symfony 7 alongside 6.4, with 3-year LTS.
MCP endpoint in Datahub Simple REST — the same LLM access protocol as in the catalog (/instruments/mcp). MCP →MCP access relies on the Elasticsearch/OpenSearch index (/instruments/elasticsearch). Elasticsearch →Reading an LLM catalog on top of an index follows the same grounding pattern as RAG (/instruments/rag). RAG → -
Pimcore Platform 2025.3: Copilot on OpenAI Chat Completions, documents in Studio
Copilot generates text through Chat Completions, so it connects to different LLM providers (OpenAI, Hugging Face, RunPod). Documents appears in Studio for the first time (preview).
Chat Completions uses the same interface that the LLM gateway intercepts (/instruments/llm-gateway). LLM & Security Gateway →LLM-based product content generation overlaps with Akeneo GenAI (/instruments/akeneo). Akeneo →
Projects
Cases
PIM for a plumbing fixtures manufacturer
- A product export for a partner is generated in 10 seconds
- 100,000 new products added to the system in an hour and a half
- Pimcore: implementation and integration.
Pimcore DAM for a furniture manufacturer
- Media file search dropped from 16 hours to a few minutes
- Pimcore: implementation and integration.
Analog search for RAEC
- Finding analogs across 2M components takes 5 seconds
Contacts
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