Together with Device Insight and NTT DATA Business Solutions, Gerolsteiner implemented a Data Intelligence Platform. This allows the market leader to perform quick and flexible data analyses, continuously optimize its production processes, and implement a wide range of use cases - from predictive production planning to efficient cleaning processes using data analytics. In short: Gerolsteiner is becoming a Data-Driven Factory.
How Costa Express successfully offered premium coffee from smart vending machines? With the latest IoT technology. The top features: Contactless Ordering & Smart Vending.
Krones uses a central IoT tool powered by Device Insight to provide fast and secure customer support for its nearly 20,000 beverage filling lines worldwide.
To ensure full transparency and control of its cleaning machines – even in challenging environments – Kärcher partnered with Device Insight to develop Kärcher Fleet, a smart fleet management solution.
With Device Insight’s IoT software, Magirus has implemented its new digital fleet management system. FleetConnect boosts vehicle availability, ensures full transparency, and enables remote assist services.
The example of RAFI shows how a component manufacturer has succeeded in implementing an IIoT-based business model to quickly and easily digitize processes in production and logistics.
How to optimize maintenance and production processes? With an IoT solution for condition monitoring and remote service. See how this works at the application for Feintool’s fineblanking machines.
To facilitate the maintenance of heating systems in case of malfunctions and to enable convenient remote access, Reflex Winkelmann relies on an IoT solution developed with Device Insight, Reflex Control Remote.
AGCO Fendt focuses on modern order data management to efficiently organize and automate the use of working time, fertilizer and agricultural machinery. To do this, the manufacturer uses Device Insight’s cloud service.
Based on our IoT solution, the MIND smartbox provides full transparency over a fleet in real time. This improves driving behavior, reduces fuel consumption & maintenance costs – and lowers CO2 emissions.
Most companies aren’t short on ideas for AI projects. What they often lack is the IT and data infrastructure to put those ideas into practice. Our Executive Guide shows how to modernize your existing systems and build a solid foundation for running AI agents and machine learning models in production. Discover how companies are using IT modernization to improve business processes, reduce costs, and open up new opportunities for AI. Get inspired by our customer stories.
Manufacturing companies today face a wide range of challenges. Rising cost pressures, regulations, and fragile supply chains demand a new level of flexibility. The Data-Driven Factory relies on holistic data integration to enhance transparency, efficiency, and quality in production. Discover in our whitepaper, through real-world examples, how successful implementation can be achieved.
Becoming a Data-Driven Enterprise is the ambition of every organization. Yet, for those in the manufacturing sector, the journey towards this goal is challenging. Companies are tasked with breaking down data silos, navigating the complexities of governance and security, all while managing costs effectively. The key to success lies in leveraging Data Intelligence solutions, coupled with Lakehouse-based architectures. Learn more using the example of four solution scenarios from our projects.
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