The NETZSCH Group and intive: an Ultimate Turn to Smart Manufacturing

With intive as a partner, we felt confident about investing in digitalization. intive’s extensive tech expertise has helped us develop a smart, AI-enhanced solution that drives efficiencies in plastics production. Together, we’ve tapped into industry 4.0 and created first-class customer-centric software for the manufacturing sector.

Dr. Alexander Chaloupka

Head of Product and Solutions sensXPERT at the NETZSCH

Client

The NETZSCH Group is an international technology company manufacturing instruments for materials testing and analysis, grinding and dispersing machines, and pumps.

Overview

intive and NETZSCH partnered up to optimize the production processes in the plastics industry with a solution that combines innovative sensors, advanced machine learning and state-of-the-art cloud software.

Services

Cloud Computing, Data Science, Machine Learning, UX, UI

Industry

Industrial

Material science goes digital

There are a meaningful business partnership and some great teamwork, lying behind this story. It all started in 2015, when the London-based Tandem Bank teamed up with intive to develop innovative financial products for Tandem’s customers. From the very beginning, the cooperation was based on integration and strengthening the relationships between Poland and England-based developers. The mixed English-Polish teams as well as regular meetings, created an opportunity for extra insights into the project goals and possibilities, resulting in a smooth and efficient development process.

Industry 4.0 and the cloud

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.

Real-time process optimization

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 with full reliability. The software helps reduce the error rate in plastic production, significantly increasing the efficiency and transparency of manufacturing operations.

User-centered design

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.

A step forward to a smart future

Five high-ranking industrial companies currently rely on sensXPERT as pilot customers. This phase is crucial: The companies have recognized the multifaceted benefits sensXPERT offers and have taken a decisive step towards digitization and automation of production. They also have the opportunity to communicate upgrade requests and feedback directly to the sensXPERT team. This creates a competitiveadvantage for the companies and gives the development team user-centric insights into the product. Thus, a win-win situation for both parties.

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