Perfect your Procurement and Supply Chain Data

Solution

Semantic Digital Twins of your Procurement Data

Creactives ingests your organization's raw data and trains a dedicated AI model on it — one that understands your specific taxonomy, your naming conventions, your domain. The output is a set of enriched, semantically connected Digital Twins that, taken together, form your Enterprise Data Space.

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Digital Twins

Five types of Semantic Digital Twins

Material and Service

Material and Service Twin

Standardized, deduplicated and attributed material and service master data — with Golden Record.

Supplier

Supplier Twin

Validated supplier profile with commercial data, categories and compliance status.

Spend

Spend Twin

Classified, harmonized spend record linked to materials, suppliers and contracts.

Asset

Asset Twin

Full lifecycle digital representation — sourced from PLM and EAM/CMMS systems, linked to maintenance, inventory and spend.

Equipment

Equipment Twin

Technical specs, MRO data and virtual inventory — synchronized from PLM and EAM/CMMS platforms across all sites.

Why "semantic"

What makes them semantic

Enriched by AI

Attributes automatically extracted, normalized and completed by a dedicated AI model trained on your data — covering multilingual descriptions, technical specs and classifications.

Semantically linked

Every twin connected via the Knowledge Graph — a material linked to its suppliers, spend history, related assets and categories.

Continuously updated

Governed through TAM workflows and enriched with field knowledge from operators, technicians and warehouse staff — not just a one-time project.

Interoperable via MCP

Accessible via MCP layer and open APIs to any agent, application or analytics tool built on top of the Enterprise Data Space.

Use cases

Where Digital Twins create value

Procurement

Golden Record for every supplier

A single validated and enriched supplier profile eliminating duplicates and ensuring accurate vendor management and compliance.

Supply Chain

Material deduplication at scale

Detect and consolidate duplicate materials across plants and systems — reducing excess inventory and improving efficiency.

Manufacturing

Virtual inventory for assets

Asset and equipment twins enable virtual inventory management — maximizing machine availability and reducing MRO spend.

M&A

Rapid data harmonization

Harmonize master data from acquired entities 10–12x faster by mapping them into an existing semantic twin framework.

Migration

S/4HANA data readiness

Clean, deduplicated and enriched twins ensure 100% data readiness for SAP S/4HANA migrations.

AI Agents

Foundation for intelligence

AI Agents connect via MCP layer and operate on twin data — ensuring every recommendation is built on trusted, structured information.

Business benefits

Measurable impact

47%

Fewer master data issues

Eliminate duplicates, errors and missing attributes across all entity types.

End-to-end traceability

Know where every entity comes from, how it's connected and when it was last validated.

15–20%

Inventory reduction

Identify duplicate stock and optimize inventory through harmonized material and asset twins.

Continuous data quality

Governed and enriched continuously — not just at implementation.

Cross-domain intelligence

Semantic linking enables insights across silos — spend linked to assets, materials to suppliers.

Accelerated automation

Clean twin data is the prerequisite for any AI initiative to deliver reliable results.

Ready to Build Your Digital Twins?

Talk to us about how Semantic Digital Twins can become the foundation of your Enterprise Data Space.