Using Zerynth’s industrial IoT solutions, all the necessary sensor data is available in one real-time dashboard. For example, the monitored vibration and noise levels of all machinery can indicate if some of the parts are not working properly. This is a great insight that is difficult to capture. So, if one part of the machine is not vibrating at a frequency that it had been previously, it can be inspected right away instead of when it breaks or stops working. If you have this kind of data available, you could schedule maintenance only when the machine actually needed it, and avoid the costs of scheduled maintenance appointments when they are not necessary. Unplanned downtime is now a thing of the past with data analytics like this. All replacement parts can be ordered once an irregularity is detected, and not when some parts stop working completely. In this way, your production costs are reduced, especially when something like food production is involved. Production plants can avoid their food supplies from spoiling, or exceeding their optimal freshness phase, with the avoidance of unplanned downtime.