Scattered data and implicit meanings
Inconsistent taxonomies, copies across systems, manual policies and content without feedback.
AI Services · From PIM/PXM foundations to semantic context
Product data ready for AI.
AI is reshaping product discovery and comparison. When a buyer consults an AI assistant, incomplete or poorly structured information can make your products harder to understand and find. Reliable, consistent and accessible data is the foundation.
PXMKnowledge GraphOntologyMCP GatewayAI Agent
AI ServicesOverviewExplore AI Use Cases
The paradigm shift
PIM organizes data. AI needs to understand it and act on it.
The PXM Hub prepares product data and content for this shift: we assess the starting point, identify gaps and connect the right information to the systems that use it. We build on PIM/PXM, DAM, integration and governance; Enterprise AI Semantic Layer adds meaning, relationships and governed access for AI applications.
Connecting an AI model to fragmented repositories amplifies ambiguity, risk and unverifiable answers. The opportunity is to build a shared semantic layer for people, systems and agents.
Connected context and governed actions
Concepts, relationships, rules and access become machine-readable, traceable and reusable.
Layered architecture
One infrastructure. Five operating layers.
Product Content Governance and Digital Product Passport span the stack, establishing quality, ownership, traceability and compliance.
Centric PXM
Product truth: data, assets, workflows, quality and syndication.
Ontology
A shared vocabulary that makes meanings and rules explicit.
Knowledge Graph
Navigable relationships between products, materials, markets, compliance and performance.
MCP Gateway
Standardized, governed access to enterprise data, tools and processes.
AI Agent
Specialized agents operating within policies, permissions and verifiable context.
Product Content GovernanceDigital Product Passport
Business impact
From the cost of data to the value of context.
Shared foundations accelerate operations while retaining control, security and accountability.
Speed
Less manual work and more reusable automation.
Revenue
More relevant content for discovery, conversion and markets.
Compliance
DPP and regulatory requirements integrated into processes.
Control
Auditable sources, decisions, permissions and actions.
Fashion use cases
One semantic layer, many better decisions.
From collections to the digital shelf, each agent works with shared product truth within its authorized scope.
- 01Content enrichment and localization at scale
- 02Conversational product discovery and recommendations
- 03Automated quality and completeness validation
- 04Adaptive syndication for marketplaces and retailers
- 05Digital Product Passport creation and updates
- 06Analysis of digital shelf gaps, anomalies and performance
The PXM Hub difference
Many talk about MCP. We connect it to ontologies, Knowledge Graphs and PXM.
We design the meaning, relationships and rules that make AI access useful for business and sustainable for the enterprise.