With our teams’ working experience and discussion with many facility managers from different industries, we realise many are facing a similar issue that is machines breakdown unexpectedly, costing their production line stalled or even worse, ruining their stored products. Therefore, one of our system’s main features is preventive maintenance.
We measure different factors of a machine including motor vibration, and by machine learning, analyse data to predict upcoming machines failure. With this information, users can schedule maintenance or relocate their goods in advance to prevent unexpected downtime and optimise factories’ productivity.