From Breakdown Chaos to IoT Predictive Maintenance
In many manufacturing companies, the maintenance department still operates in a constant state of emergency. When a
How to Improve Production Efficiency with Equipment Health Monitoring, Predictive Maintenance, and Industrial IoT
Keeping machinery running continuously and at optimal performance is one of today’s main challenges in manufacturing. Equipment
How to Boost Productivity by Reducing Downtime: A Packaging Industry Case Study
Discover how an Italian SME in the packaging industry transformed its operations—shifting from a reactive to a
Stationary elevators? How to reduce downtime in your industry with intelligent monitoring and predictive maintenance
Why is it important to avoid elevator and freight lift downtime? Elevators are essential infrastructures in residential,
Optimization of Production Processes and Production Progress Management for a Pharmaceutical Company
How to manage operational pauses without losing data? To avoid information loss and data fragmentation, it is
How IoT Improves Smart Waste Management: Practical Applications for Plants and Landfills
Smart waste management and environmental services are an increasingly pressing challenge. Zerynth’s IoT and AI solutions help
Traceability and Production Optimization in a Metalworking Company
Discover how an SME digitalized production control, improved production optimization, and reduced machine downtime with Zerynth. Keep
Efficient Production: Zerynth’s Scalable Approach. The Case Study of a Pharmaceutical Company
Improving industrial production efficiency and streamlining production process monitoring is more crucial than ever for modern manufacturers.
Integrating Zerynth with Corporate MES and ERP Systems: How and Why to Move in This Direction
The integration between the Zerynth Industrial IoT & AI Platform and MES and ERP systems represents a
Energy Monitoring Solutions and Production Optimization with Artificial Intelligence
The rise in energy costs and new sustainability regulations require companies to find solutions to optimize production
