PIM · MDM · DAM
Akeneo: single source of truth for products
Akeneo is a PIM platform that turns product data into a master system: one verified set of attributes, descriptions, and media is collected, enriched, and distributed across every channel, including the website, marketplaces, retail partners, and print catalogs.
PIM logic is simple: data is normalized to a single model once at the source, and each channel automatically receives its correct projection.
Our clients
Clients and partners
PIM / MDM / DAM
Product data has a single source of truth
PIM/MDM/DAM speeds up SKU launch and improves data quality: 1C/ERP stay as the accounting system, PIM becomes the managed content layer, and DATAREON moves data without point-to-point links.
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.
Industry solutions
What you can do with Akeneo
Capabilities
Akeneo capabilities
Single source of truth for products
One verified data set instead of scattered Excel files and edits in every system — channels no longer contradict each other, and the team spends time on enrichment rather than reconciling versions.
Flexible attribute and product family modeling
The catalog structure reflects the real item master (families, attribute groups, variants), so new categories and suppliers can be added without rewriting the system.
Completeness and Data Quality Insights
Each product card gets a quality score and completion percentage, so only ready products are sent to channels and incomplete data is visible before publishing, not after customer complaints.
Localization by channels, languages, and markets
One product can store different values for different countries and platforms, so entering a new market does not require manually copying and duplicating the catalog.
Enrichment workflow and roles
Content moves through controlled stages (draft → review → publish) with clear responsibilities, so the catalog can grow without losing control or inflating the team.
Syndication to marketplaces and channels
Ready-made data projections tailored to each platform's requirements let products reach hundreds of marketplaces and retail partners without manual feed reformatting.
Manage media and digital assets
Images, videos, and documents are linked to the product and its variants, so each listing is complete on any channel without manually searching for the right file.
API-first and ecosystem integration
PIM sits between ERP/PLM sources and channels as a decoupled data layer: exchange happens through a standard REST API, not fragile point-to-point exports.
Import and mapping of supplier feeds
Supplier data is normalized to the internal taxonomy through rules, so onboarding a new vendor and thousands of SKUs is no longer a multi-week manual project.
Approach
How we implement Akeneo
Without modifying the core
We do not fork or patch the Akeneo core. Akeneo stays on the standard upgradable version, while business logic is moved into separate nearby microservices, so platform updates do not 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
Akeneo in the AI stack
AI attribute enrichment
Akeneo fills in missing attributes and normalizes values according to rules, reducing the amount of manual entry and shortening product card preparation time (ROI up to 50% in the example).
Channel-specific content generation
AI adapts descriptions and copy to the requirements of a specific marketplace based on existing PIM attributes, speeding up launch on new channels without separate copywriting for each one.
Data Architect Agent for modeling
The AI agent helps design the data model, migrate and onboard catalogs, enabling teams to build a scalable attribute structure faster than manual design.
Controlled and transparent AI configuration
A single panel manages prompts, translation rules, and AI settings - it controls and audits AI processes instead of adding a black box on top of the data.
PIM as clean context for AI channels and search
Structured, quality-scored product data is a reliable source for generative search, assistants and recommendations: the model cites facts, not messy product cards.
News
What's new in Akeneo
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Summer Release: Agentic Ziggy - orchestration of multiple AI agents within Product Cloud
Akeneo replaced the conversational Ask Ziggy with Agentic Ziggy, a layer of coordinated specialized agents that carry out data modeling, schema mapping, and quality checks from natural-language commands, rather than only providing suggestions.
Agentic Ziggy is task orchestration inside the PIM; unlike n8n, it is a built-in vertical layer, not a general-purpose workflow engine. n8n → -
Spring Release: Ask Ziggy - AI assistant inside PIM, template-based Custom Channels
Akeneo embedded the context-aware AI assistant Ask Ziggy into the interface, with guidance for configuration and workflows, and added Custom Channels for template-based retailer onboarding without manual engineering for each channel.
A similar built-in AI assistant, Pimcore Copilot, has existed since earlier (Enterprise Edition); Akeneo is catching up with Ask Ziggy. Pimcore → -
Winter Release: Digital Showroom, partnership with Stripe Agentic Commerce Suite, MCP as a governance layer
Akeneo launched Digital Showroom for sales teams, integrated with Stripe Agentic Commerce Suite for product discovery and checkout by AI agents through a single connector, and positions the MCP Server as a layer for controlling AI model access to product data.
The same MCP server from Autumn 2025 was reused as a governance layer for agentic purchasing. MCP → -
Autumn Release: MCP Server, expanded Data Architect Agent, AI tagging in DAM
Akeneo added a native MCP Server ("Bring Your Own LLM") for connecting external models to catalog data while preserving governance, extended Data Architect Agent to reference entities, asset families, and variants, and added AI extraction of attributes from video, PDF, and images in DAM.
Akeneo implements the MCP server as a transport for LLM access to the catalog, not as a proprietary protocol. MCP →
Projects
Cases
Akeneo PIM for the Norgau B2B store
- A catalog of 600K SKUs assembled in a single PIM database
- Integrated Akeneo PIM for Norgau
Akeneo PIM for The Store
Learn moreMulti-brand store on Magento and PWA
- ERP integrated in 8 months
- The store page loads in 0.1 seconds
- MVP launched in 4 months


