Technology in a nutshell - with with structured product data in mechanical engineering
Precision starts with the data: Why product information is crucial in mechanical engineering
In mechanical and plant engineering, efficiency, availability and technical excellence count - not only for the products, but also for the accompanying information. Whether configuration, maintenance or procurement: accurate, standardized and consistently maintained product data is indispensable for customers, partners and internal processes.
Challenges in industrial data management
Complex products, long life cycles - typical challenges in mechanical engineering
The demands on data processes in mechanical engineering are high - both technically and organizationally. Companies often face the following challenges:
- Large volumes of data due to variants, assemblies and configurations
- Different data sources: CAD, ERP, technical documentation, supplier master data
- Lack of standardization and classification (e.g. eCl@ss Advanced, ETIM)
- Incomplete or inconsistent technical features and attribute structures
- Heterogeneous requirements from customers, authorities and platforms
- High manual effort for maintenance, translation and export
Systemic basis for technical data flows
Consistent and usable product data with PIM, MDM & Co.
Consistent product data management across all systems forms the backbone of efficient industrial processes. Modern IT solutions make this possible:
- Centralized data maintenance across all variants, components and units
- Interfaces to ERP, CAD, PLM and technical editing systems
- Automated output to data sheets, web portals, marketplaces and customer portals
- Quality-assured collaboration between engineering, sales, service and purchasing
- Direct integration with ERP, DAM, store and marketplace systems
- Automated distribution to digital and traditional channels
- Standardized workflows between product management, purchasing, marketing and sales
Intelligent automation in mechanical engineering
AI as an assistant for technical precision and data quality
Artificial intelligence complements traditional data maintenance in mechanical engineering with smart automation. The advantages include
- Automatic classification according to industry-specific standards (eCl@ss, ETIM etc.)
- Intelligent completion of technical characteristics based on patterns
- Translation of technical data into other languages or formats
- Detection of inconsistencies, duplicates and non-compliant entries
Intelligent data for precise mechanical engineering with forbeyond
