Retail / CPG

Master Data Management

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

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

See how it works Explore the retail AI architecture

Retail 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.

Single source of truth

One master record for every article, supplier, site, and pricing rule. 99+ hierarchy levels supported. Every system in your retail operation reads from the same source, eliminating reconciliation between ERP, planning tools, and execution systems.

API-first for AI and agentic projects

APIs and agent-consumable skills so AI models and agentic systems access real-time, governed master data without custom integration work. When a forecasting model needs a product hierarchy or a pricing rule, it queries MDM directly. When an agentic workflow needs to validate a supplier attribute, it calls the MDM API.

Supplier and product lifecycle management

Onboard new suppliers and products through structured workflows. Manage product lifecycle from introduction through delisting. Track supplier attributes, certifications, and compliance status in one place.

Pricing and commercial data management

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

Real outcomes, proven in production

$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.

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 retail 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.
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.
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.
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 architecture See how it works