Solution Examples
Podcast Episodes
Central Service Platform: Murrelektronik & elunic digitize product data
How can product information and digital services be provided more efficiently – internally and externally? Murrelektronik and elunic demonstrate how standardization and a platform approach can transform scattered data silos into a scalable system. The challenge: Sales, support, and other internal departments had to manually collect product data and documentation from various sources – web shop, CRM, internal tools. These fragmented systems led to duplicated work, broken information flows, and an inconsistent data landscape. The solution: Murrelektronik chose a modular white-label solution based on shopfloor.io by elunic. The aim was to make all digital services – from the product catalog to user administration – centrally accessible via one platform. The technical foundation is based on Asset Administration Shells (AAS), which provide structured and versioned data for various applications. Next step: An AI-powered assistant (ShopfloorGPT) is set to further simplify access to the platform – via a chat window that understands natural language. Initial modules have already been integrated, with further development progressing iteratively and in close alignment with real-world needs. The result: Fewer manual processes, a centralized data structure, and a modern platform that increases internal efficiency and lays the foundation for future customer services. A concrete example of how digitalization can be implemented through clean data structures and modular technology – beyond the buzzwords.
Digital machine portals for packaging machinery – External procurement of spare parts and associated capital commitment – Retrofit for filtration systems
As an IIoT service provider, elunic generates added value for machine manufacturers through digital applications in the production environment. In this podcast episode, member of the Executive Board Jonas Schaub presents some of these added values, as well as difficulties that arise along the way, based on three use cases. The first use case is about a collaboration with a filtration system builder. It’s about so-called “pirate filters” and, in general, spare parts that end customers like to source elsewhere. elunic’s solution: build bi-directional customer relationships and create added value and dependencies by providing data. Here, delivery plan business models, especially subscription models, can be the key to success. Use case two revolves around the topics of quality assurance and artificial intelligence. It is about predictive maintenance and performance of optical quality assurance by neural networks as well as processes that have been performed by human operators until now. In the third use case, Jonas Schaub talks about a digital machine portal for packaging machine manufacturing. The topics addressed include ticketing, digital service booklets and single user interfaces.
