UNIVERSALCOMMERCEAI-NATIVE DATA MANAGEMENT · ENTERPRISE DATA FABRIC
Give every application
a shared data foundation.
Connect enterprise systems. Master product and customer data. Supply knowledge and context to AI.
UNIVERSAL DASHBOARD · AI-NATIVE DATA MANAGEMENT
Universal Dashboard is designed to manage the data that powers the Intelligence Layer: the unified commerce data lake, semantic data mesh, and enterprise knowledge and context. It combines embedded integration capabilities with master data management (MDM), so product and customer information can be managed as shared enterprise assets.
Manage integrations from CRM, ERP, Commerce, OMS and other applications through embedded iPaaS capabilities. Coordinate ingestion, mapping, synchronisation and exception handling to keep the Data Fabric connected to operational systems.
Use MDM capabilities to reconcile records, resolve duplicates, manage identifiers and apply data-quality rules. The unified data lake can become the governed source of truth for enterprise product and customer information, with approved data published to Commerce, Marketplace, OMS and other systems.
Manage the semantic relationships, business definitions and knowledge that make enterprise records useful to AI. Supply permitted, relevant context to the composition, orchestration and intelligence capabilities managed in Universal Composer.
Universal Dashboard is intended to cover product and customer master-data needs within the Data Fabric, reducing the need for a separate Product Information Management (PIM) platform or Customer Data Platform (CDP). Replacement scope is agreed against the enterprise's enrichment, identity, consent, segmentation, publishing and operational requirements.
Source ownership and publication rules determine which system controls each record or attribute. The architecture supports a transition from existing tools without assuming that every connected system can independently overwrite the same master data.
HOW THE TWO TOOLS WORK TOGETHER
Bring source records into the unified data lake, apply master-data policies and organise the semantic mesh, knowledge and context.
Build applications and workflows that use approved enterprise data, selected business capabilities and Frontier or Sovereign AI models.
Publish governed product and customer data to downstream systems. Return operational events through the integrations to support richer context, commerce insights and ongoing improvement.
Together, the tools connect the four-layer XCaaS architecture across Composable, Agentic and Autonomous Commerce. Explore the use cases and industry solutions they support.
BUILD YOUR COMMERCE FOUNDATION
Discuss your requirements and the capabilities relevant to your deployment with our team.