Many organizations rely on material master data that has evolved over years or even decades. Different naming conventions, duplicate records, and incomplete attributes often make it difficult for teams in procurement, maintenance, production, and logistics to work efficiently.
This is where the eptos™ AI Classification Engine comes into play. The solution leverages artificial intelligence to automatically classify existing material data, identify duplicates, and enrich master data with valuable information. It supports established standards such as ECLASS as well as company-specific classification systems and dictionaries.
Through intelligent attribute mapping and automated quality checks, data becomes more consistent, complete, and reliable. The significant manual effort traditionally required for maintaining and harmonizing master data is drastically reduced, while transparency across the entire data landscape increases.
A key advantage of the solution is its flexibility in managing multiple classification standards and custom dictionaries. Organizations can centrally govern their data models and quickly adapt to new business requirements or market developments without redesigning existing processes.
The eptos™ AI Classification Engine also enables seamless integration with ERP, PIM, procurement, and analytics systems. By standardizing and harmonizing master data, integration complexity is reduced and downstream data issues can be prevented before they occur.
The result is not only higher-quality data, but also faster processes, lower operational costs, and a scalable approach to master data management. Organizations gain a solid foundation for better business decisions and long-term digital transformation initiatives.
With the eptos™ AI Classification Engine, master data management becomes more than an administrative task—it becomes a strategic asset. By turning fragmented information into trusted business data, companies can unlock new efficiencies and create a lasting competitive advantage.
