Revolutionizing Smart Manufacturing with NETZSCH

To drive the initial idea to maturity, the engineers of NEDGEX – the digital innovation lab of the NETZSCH Group - turned to intive’s experts for technical guidance and collaboration. The two companies worked hand-in-hand to create a cloud solution for the sensXPERT product: An AI-enhanced system that empowers the plastics industry to make sustainable, efficient and optimal use of production data. Material characterization, machine learning and data-driven process optimization in real time result in immediate qualitative and economic benefits.

By combining sensor-based process monitoring, data science and the cloud, sensXPERT helps optimize plastics production, streamlines downstream quality control and generates transparency. Batch data, material deviations due to transport and storage, climate factors, impurities – all are taken into account to ensure foolproof, transparent and high-quality production.By using sensXPERT, polymer manufacturers now have access to real-time production data, which enables them to operate withfull reliability. The software helps reduce the error rate in plastic production, significantly increasing the efficiency and transparency of manufacturing operations.

Working collaboratively with NETZSCH’s data-scientists, intive UX designers took a usability-first approach and designed sensXPERT’s user-friendly workflows and customizable dashboards, making it extremely easy for manufacturers to interact with the software and take control of different aspects of the production process. In 2021, sensXPERT’s outstanding design was nominated for the UX Design Award in the “Product category”. The project captured the attention of the UX Design Awards jury with its focus on simplicity, traceability and easy access to data offered to users. With the introduction of convenient filtering, adjustable notifications for key events, and documentation options, the sensXPERT solution radically improves the experience of users who manage large volumes of data.