Martin Dimmler

Warning and escalation concepts for minimizing downtime of coffee vending machines | AI-supported optimization of production processes

As a full-service provider for demanding IoT and IIoT projects, Device Insight (DI) has already realized many exciting use cases together with partners. In this podcast episode, DI’s Hendrik Nieweg and Martin Dimmler showcase two of them. The first use case revolves around a topic that is probably close to all of our hearts: Coffee! Together with the international coffee house chain Costa Coffee, DI has implemented a “pay-per-cup” business model. Costa Coffee’s idea: in return for a share of the profits per coffee sold, high-quality coffee vending machines were made available free of charge to gas stations, airports etc. Device Insight’s technology not only enables them to reliably track the number of coffees sold, but also to minimize downtime through early warning and escalation concepts that prevent profit loss. In the second use case, Martin and Hendrik report on their collaboration with the AI specialist Sentian. At JUMO, a manufacturer of measurement and sensor technology, they succeeded in improving the production process with the help of AI. Thus, thanks to sensor technology and analysis of the raw material, adjustments can already be made in the production process. The result: More sensors can be produced at the highest quality level. At the end of the episode, we show how relevant partner ecosystem collaboration is to solving customer problems. Device Insight GmbH, founded in 2003 and based in Munich, is an IoT specialist that supports companies in digitization in the environment of Internet of Things, Industry 4.0 and Artificial Intelligence. Based on a flexible IoT framework, Device Insight combines ready-made IoT building blocks and microservices with individual applications for customized IoT services.