Menz&Gasser is a historic South Tyrolean company, a leading producer of jams and spreads. With diverse facilities and thousands of products handled daily, it has embarked on a digital transformation journey to improve efficiency, quality, and sustainability at its facilities, including its Novaledo (TN) plant.
The company aimed to centralize and standardize data from different production lines, monitor processes in real time, reduce waste and intervention times, ensure complete traceability, and digitize documentation.
Relatech, through EFA Automazione, has adopted a modular and scalable approach, capable of supporting Menz&Gasser through every phase of its digital transformation. The strategy is based on technological flexibility and the ability to gradually integrate new features, ensuring operational continuity and adaptability to production needs:
Analysis of data collection and valorization needs, with implementation of Ignition and Kepware to connect heterogeneous plants
Creation of intuitive dashboards accessible from any device, along with automatic alert systems to reduce waste and downtime
Digitization of documentation and optimization of supervision and quality processes
Planning future developments with MES solutions and Sepasoft modules
Thanks to Ignition's flexibility and scalability and Kepware's connectivity platform, Menz&Gasser has centralized data collection, improved real-time monitoring, introduced dashboards accessible on any device, and activated automatic alert systems that reduce waste and intervention times. The digitalization of documentation, advanced traceability, smart raw material management, and new quality and maintenance tools, including the first AI-based projects, have transformed the way the plant works. The transformation continues with the development of a customized MES based on Ignition and native Sepasoft solutions, to take efficiency and traceability to an even higher level.
The transformation has brought tangible benefits: reduced waste, increased process efficiency, and safer monitoring of every production phase. Quality has improved thanks to automated checks and advanced traceability, while digitalization has streamlined operational activities. The introduction of artificial intelligence has made maintenance more effective thanks to voice-assisted tasks, including automatic line recognition, identification of the cause of the intervention, and suggested solutions, as well as automatic label verification to reduce errors. Instant access to data enables more informed decisions and opens up new development opportunities in predictive maintenance, artificial intelligence, and MES functionality.
