Unexpected machine failures disrupting production schedules and requiring high-cost emergency repairs.

Inability to track machine performance slowdowns and micro-stops due to a lack of data-driven monitoring.

Unnecessary expenses resulting from periodic maintenance performed regardless of the machine's actual condition.

Inability to identify the source of a problem due to missing historical data at the moment of failure.

Prolonged repair times caused by the inability to stock critical parts before a failure occurs.

Reduced machine life because overload or misuse data cannot be tracked and addressed.