Responsive Catalog Modeling & Enrichment: Turning Market Signals into Action

Type: New | Feature: Governance Productivity Collaboration Connectivity | Packaging: Growth Advanced Premium | 📖 Read the doc

One of the biggest challenges in modern product experience management is what we call the “Infinite Enrichment Gap”: the constant disconnect between what channels, marketplaces, AI discovery engines, and customers expect… and what your product model is actually prepared to support.

Until now, missing attributes identified by PX Insights weakened SEO and AI discoverability, while incomplete marketplace requirements created activation errors, delayed launches, and costly manual rework.

With the Spring Release, Akeneo introduces the Responsive Catalog Modeling & Enrichment — a major evolution that officially closes the loop between market signals and the Data Architect Agent (DAA). Product models can now continuously evolve based on real-world requirements coming from AI audits, customer signals, and sales channels.

✨ What’s new:

• 🧠 Smart Attribute Discovery – Powered by CoreAI, Akeneo automatically suggests complete attribute structures, including labels, codes, types, scoping, and configuration details.
• 🏷️ Value & Option Suggestions – Automatically generate Simple Select and Multi-Select options to enrich products faster and reduce manual setup.
• 🤝 Built-In Review Workflow – PIM Admins can review, comment, approve, or reject modeling suggestions from one centralized interface, with notifications and email updates to keep teams aligned.
• 🔌 Open Ecosystem via API – External systems can now push modeling suggestions directly into Akeneo thanks to new API endpoints, opening the door to tighter integrations with marketplaces, AI tools, governance systems, and more.

The Responsive Catalog Modeling transforms the PIM from a static repository into a living, adaptive system — capable of evolving continuously as new business requirements, market expectations, and AI-driven opportunities emerge. The result: faster time-to-market, stronger AI discoverability, fewer activation errors, and product experiences that stay aligned with a rapidly changing commerce landscape.

Focus: Closing the Loop Between AI Insights and PIM Action

Type: Improvement | Feature: AI Governance Productivity | Packaging: Growth Advanced Premium | 📖 Read the doc

PX Insights is evolving from an AI visibility analysis tool into a true execution engine for AI discoverability. Until now, teams could identify where their product experiences were underperforming across AI assistants and search engines — but translating those insights into concrete PIM actions still required significant manual work.

With this Spring Release, PX Insights now transforms AI Discoverability signals into actionable recommendations directly connected to your catalog structure and enrichment workflows.

✨ What’s new:

• 🧠 Automated Gap Analysis – Instantly identify where your product data diverges from AI discoverability best practices.
• 🎯 Intent & Data Quality Alignment – Understand whether your attributes and content truly support customer search intent and conversational discovery.
• 🏗️ Data Model Recommendations – Go beyond content suggestions with structural recommendations that identify missing attributes and catalog gaps.
• 🤝 Seamless DAA Integration – The Data Architect Agent transforms PX Insights recommendations into real modeling actions, allowing PIM Admins to review and apply updates instantly.
• 📊 Aggregated Action Dashboard – Move from product-by-product analysis to scalable execution with unified action cards that help resolve structural gaps across entire catalogs at once.

PX Insights now closes the loop between AI audit and PIM execution. Instead of simply highlighting what’s missing, Akeneo helps teams act on it immediately — improving AI discoverability, strengthening product experiences, and continuously evolving the catalog to match real market expectations.

AI Model Flexibility: Bring Your Own AI Model 🤖 to Akeneo PIM

Type: New Improvement | Feature: AI Governance Scalability | Packaging: Growth Advanced Premium | 📖 Read the doc

Akeneo is introducing a major new level of flexibility for AI-powered enrichment with Bring Your Own AI Model (BYOK). Customers can now connect their own OpenAI or Anthropic API keys directly to Akeneo PIM and choose the models that best match their security, governance, performance, or regional requirements.

This evolution removes one of the biggest blockers to enterprise AI adoption: forcing organizations to use a single default provider. With AI Model Flexibility, teams can now leverage the AI ecosystem they already trust — while continuing to benefit from Akeneo’s PIM-optimized enrichment experience.

✨ What’s new:

• 🔑 Bring Your Own Key (BYOK) – Securely connect your own OpenAI or Anthropic API key directly within Akeneo PIM.
• 🧠 Choose Your Preferred Models – Select from advanced models including GPT and Claude families depending on your business needs and AI strategy.
• 🌍 Better Regional & Enterprise Alignment – Ideal for organizations with specific legal, procurement, or regional AI requirements.
• ⚡ PIM-Optimized AI Experience – Akeneo continues to provide enrichment workflows, prompt orchestration, governance, and AI integrations tailored for product data management.
• 🛡️ Enterprise Governance & Flexibility – Maintain control over provider selection while benefiting from secure configuration management and centralized AI operations inside the PIM.

Intelligent Catalog Expansion: Extend Your Catalog Without Starting Over

Type: New | Feature: Governance Automation Scalability | Packaging: Growth Advanced Premium | 📖 Read the doc

The Data Architect Agent (DAA) continues to evolve beyond initial catalog setup with a powerful new capability: Catalog Expansion. Teams can now onboard new product lines directly on top of an existing PIM structure — without resetting or rebuilding their catalog from scratch.

Instead of forcing businesses to redesign their entire model for every new category or product launch, the DAA now intelligently analyzes the current structure and suggests only the missing elements needed to support expansion.

✨ What’s new:

• 🧠 AI-Powered Catalog Expansion – Reuse your existing catalog structure as a blueprint to generate only the missing families, attributes, reference entities, and asset families.
• 🛡️ Non-Destructive by Design – Existing entities are never overwritten or deleted, protecting your current source of truth and governance model.
• ⚖️ Flexible Modeling Strategies – Choose between Consolidated, Balanced, or Granular approaches to define the right level of modeling precision for your expansion.
• 🚀 Faster New Product Launches – Accelerate onboarding for new product lines without complex manual schema work.
• 🤝 Ideal for Iterative Growth – Perfect for MVP approaches, incremental catalog evolution, and partner-led onboarding projects.

Catalogs are constantly evolving, but traditional data modeling approaches are often too rigid and time-consuming to keep pace. Intelligent Catalog Expansion allows teams to scale their catalog progressively and confidently, while maintaining consistency with their existing PIM architecture.

🎨 And there’s more:
The entire Data Architect Agent experience has also been redesigned with a more intuitive UI and smoother navigation — making catalog modeling and expansion more seamless than ever.

Smarter Asset Automation: Enhanced Naming, Product Linking Rules & Transformations from the UI

Type: Improvement | Feature: Governance Productivity Automation | Packaging: Growth Advanced Premium | 📖 Read the doc

Akeneo DAM continues to evolve with smarter automation and a more accessible user experience for managing digital assets at scale. This release introduces major improvements across asset enrichment, automated product linking, and asset transformations — helping teams reduce manual work while giving non-technical users more control directly from the PIM interface.

Previously, advanced DAM capabilities like Product Link Rules and Asset Transformations required manual JSON editing. They can now be configured visually from the UI, while new naming convention mappings bring more intelligence and flexibility to automated asset enrichment workflows.

🏷️ Smarter Naming Convention Mappings for Automated Asset Enrichment

Asset enrichment from filenames is now far more flexible and intelligent.

• 🔄 Flexible Value Mapping – Map portions of filenames (like EN or FR) directly to option codes such as en_US or fr_BE.
• ⚡ Less Manual Enrichment – Automatically translate naming conventions into structured DAM attributes without requiring exact filename matches.
• 🌍 Better Global Consistency – Simplify multilingual and multi-region asset onboarding while maintaining standardized attribute values across your DAM.
• 🧠 Smarter Asset Organization – Reduce repetitive enrichment work and improve asset discoverability from the moment files are imported.

🔗 Scale Faster with Enhanced Product Link Rules (PLR)

Automatically connect the right assets to the right products with more flexibility and less technical effort.

• 🖱️ No-Code Configuration – Create and manage Product Link Rules directly from the interface without editing JSON files.
• 🌍 Multi-Locale & Multi-Channel Linking – Link a single asset across multiple locales and channels simultaneously.
• 🎯 Advanced Asset Sorting – Control display order using custom attributes like Priority or Rank.
• 🔄 Automatic Re-Triggering – Links refresh automatically whenever asset attributes are updated, ensuring synchronization at all times.

🎨 Asset Transformations — Powerful Media Automation, Now Easier Than Ever

Asset Transformations can now be configured visually from the UI while still supporting advanced JSON configurations when needed.

• ⚡ Transformation UI – Easily configure resizing, thumbnails, optimization, colorspace changes, and more directly in the PIM.
• 🪞 NEW: Flip Operation – Automatically flip images horizontally or vertically as part of your transformation pipeline.
• 🔗 Composable Transformations – Combine flip with other operations like resize, optimization, or future transformations.
• 👀 Real-Time Validation – The UI validates configurations instantly, reducing setup errors and making advanced media workflows accessible to non-technical teams.

These enhancements dramatically simplify DAM automation and reduce dependency on technical teams for day-to-day asset management. Marketing, e-commerce, and product teams can now configure advanced asset workflows directly from the UI — accelerating onboarding, improving consistency, and making asset operations far more scalable.

🚀 And this is just the beginning:
The new transformation framework paves the way for additional upcoming operations such as crop, brightness/contrast adjustments, saturation, watermarking, and modern format conversions like WebP or AVIF.