Predictive maintenance prevents costly,
unscheduled downtime

Use our predictive analytics software to utilize your machines and equipment as optimally as possible and reduce stoppages and downtime. The solution calculates the malfunction probability for each machine. Now you can simply maintain your equipment according to demand as opposed to the calendar. 

Using predictive maintenance with NeuroBayes allows you to lower your maintenance costs and reduce downtime.

For master technicians and manufacturing specialists, scheduling regular machine downtime for maintenance activities is a routine part of their job. Our predictive analytics software allows manufacturing companies to reduce downtime significantly. By monitoring a whole variety of parameters in real-time – such as machine data and information held within an ERP system – companies are given a highly accurate picture of the current state of their machines or equipment. By identifying and fixing any errors in good time, companies are thus able to avoid unscheduled, costly downtime. 

Predictive analytics software detects signs of a malfunction.

It is impossible to detect signs of a malfunction or upcoming downtime using just the naked eye or conventional statistical methods alone.  NeuroBayes, on the other hand, correlates a multitude of different factors with one another in a bid to detect any interconnections that exist. Malfunctions are predicted and avoided with the utmost certainty, meaning machines and equipment are only shut down when absolutely necessary.

Automated planning reduces storage costs.

Use NeuroBayes as part of your planning and logistics efforts for inventory management! Our software forecasts the material requirements needed and outputs planning proposals. A random check is performed, after which the order is then triggered automatically through the inventory management system. You are ready to deliver at every opportunity and reduce storage costs at the same time, as you plan the exact amount of materials required for production. In doing so, the predictive analytics software identifies any interconnections that exist within your data structures, regardless of how complex they may be.