Master Data Management

Every AI project succeeds or fails on data quality. MDM is where quality starts.

Master data management purpose-built for supply chain, with APIs and agent-consumable skills that make your AI and agentic projects reliable from day one.

See how it worksExplore the retail AI architecture
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Supply chain master data management built for AI at every layer

Your AI projects are only as reliable as the data feeding them. When product hierarchies, supplier attributes, or pricing rules are wrong at the source, every downstream decision inherits the error.

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Single source of truth

One master record for every article, supplier, site, and pricing rule. 99+ hierarchy levels supported, so every system reads from the same source.

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API-first for AI and agentic projects

APIs and agent-consumable skills give AI models real-time, governed master data without custom integration. Agents query MDM directly instead of waiting on batch syncs.

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Supplier and product lifecycle management

Onboard suppliers and products through structured workflows. Manage lifecycle from introduction through delisting, with attributes and compliance status in one place.

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Pricing and commercial data management

Central management of pricing rules, promotional mechanics, and commercial terms. Changes propagate to downstream systems automatically.

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Real outcomes, proven in production

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$2M MDM expansion at a major U.S. grocery retailer
MDM was identified as a critical enabler for the retailer's AI roadmap, as part of a broader platform deal including CINDE license expansion and data monetization.
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6% fewer shortages, 1.5% better inventory, 0.5% more sales
Mercator Slovenia, across 370+ supermarkets and 27 hypermarkets—clean master data enabled automated replenishment and store operations to run without manual data reconciliation.

Commonly asked questions about master data management in retail

Why is MDM critical for supply chain AI and agentic projects?

AI models and agentic systems depend on accurate, real-time master data for every decision: product hierarchies for demand forecasting, supplier attributes for automated ordering, pricing rules for promotional optimization. When master data is inconsistent or stale, AI outputs inherit the error. MDM provides the governed data foundation that makes AI reliable.

What is the difference between traditional MDM and AI-ready MDM?

Traditional MDM stores and governs master data. AI-ready MDM adds API-first access and agent-consumable skills, so AI models and agentic systems query master data in real time without batch files or custom integration. The difference is accessibility and speed: governed data available on demand, not on a nightly sync schedule.

How does MDM support agentic AI agents in retail?

Agentic AI systems perform multi-step analysis and take automated actions (generating orders, adjusting prices, recommending assortment changes). Each step requires accurate input data. MDM provides APIs and skills that agents call directly to validate product attributes, check supplier constraints, confirm pricing rules, and verify commercial terms before executing.

Can retail MDM integrate with existing ERP and planning systems?

Yes. MDM serves as the central data backbone, feeding consistent master data to ERP, POS, WMS, planning tools, and AI platforms through APIs and standard data feeds.

Start with the data. Everything else depends on it.

Explore the retail AI architectureSee how it works
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