Disconnected Manufacturing Data Drives Costs, Delays, and Supply Chain Risk
Manufacturers manage complex customer, supplier, product, and procurement data across ERPs, PLMs, and warehouses. Tamr’s AI-native master data management (MDM) helps master these entities at scale, creating trusted golden records that improve supply chain resilience, operational efficiency, and profitability.
Customer & Channel Visibility
Customer and account data is often fragmented across distributors, dealers, CRMs, e-commerce, and service systems, making it difficult to understand customer relationships. Tamr creates a connected knowledge layer across channels, improving forecasting, segmentation, service, and revenue growth.
Supplier Network Resilience
A disruption at one supplier can ripple across plants, products, and delivery timelines. Tamr connects supplier, parts, inventory, and location data so teams can assess risk, identify alternate sources, reallocate stock, and keep production moving.
Product, Parts & Material Mastering
Duplicate parts, inconsistent descriptions, and mismatched material records make it harder to find equivalents, reuse inventory, and standardize production. Tamr classifies and masters product, parts, and material data so teams can reduce waste and make faster production decisions.
Procurement & Spend Optimization
Procurement teams need a complete view of supplier spend to negotiate effectively, but purchasing data is often scattered across business units and systems. Tamr creates end-to-end supply chain visibility—connecting supplier, contract, invoice, and spend data to uncover savings and strengthen sourcing strategies.
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Manufacturing FAQs
The biggest challenge manufacturers face is incomplete, inaccurate, and duplicative data that is siloed across various corporate systems. Without holistic, 360-degree views of customers, suppliers, products, and materials, manufacturers can experience reduced customer satisfaction, supply chain disruptions, delivery delays, and inefficient operations.
Tamr consolidates key business entities across systems and business units, providing real-time views of customers, suppliers, vendors, and products. With cleaner, more trustworthy data in hand, suppliers can increase visibility into potential disruptions, strengthen supply chain resilience, and minimize risk.
Tamr applies different AI/ML models alongside agentic curation and select rules to clean, match, and maintain data across ERPs, procurement platforms, and other systems. This results in golden records that represent the best, most accurate versions of product, partner, and material data across systems and sources. Tamr also surfaces cross-entity relationships using enterprise knowledge graphs, bringing visibility into additional relationships within the data.
Tamr produces golden records and enterprise knowledge graphs to unify and connect data across ERPs, PLMs, and supply chain systems. Enterprise knowledge graphs provide a connected, contextualized view of a manufacturer’s data that highlights the relationships among and between key business entities. By identifying these cross-entity relationships, manufacturers can reveal meaningful connections that surface valuable, actionable insights.
When manufacturers have clean, trustworthy golden records, mastered across multiple domains, they ensure that AI systems and AI agents are using the best version of their data to automate processes and deliver insights that inform decision-making. As a result, manufacturers can enhance customer relations, improve sourcing, reduce costs, and strengthen supply chain resilience.
With a 360-degree view of suppliers and corporate hierarchies, procurement teams gain a holistic view of their supplier network, providing insights that help to prevent overreliance on a limited number of them, negotiate better contractual terms, and drive savings with optimized sourcing strategies.
See for yourself
Get a free, no-obligation, 30-minute demo of Tamr, and discover how our unique AI-native MDM solution can empower you to deliver data you can trust.