Reactive maintenance is the most expensive kind
Most failures show up in the data hours before they show up on the floor. PackGuru watches the signals you already have — capper torque, vacuum pressure, motor temperature, vision frames — and asks for a fix before the line slows down
Eight maintenance use cases
Torque drift
FlexiCapper torque profile starts to wander. PackGuru flags it, suggests likely cause and creates the work order
Vacuum pipe degradation
Pick-time creeps up by 30 ms. The vacuum hose has lost suction. PackGuru tells maintenance to replace it this week
O-ring wear on cappers
Pressure-spike pattern signals a seal change. Action goes out before the leak
AC motor overheat
Clogged filters from foam interlayers detected from temperature curve, not from a hand check
Vision-system collisions
System catches its own collision frames and tells you when LED or belt needs cleaning
Friction trending
Predicts which carrier needs disassembly before it becomes a stop
Head deflection
Detected from a deflection-curve anomaly — caught at fitting, not at failure
Suction analysis
Co-deployed palletizer cycles tracked end-to-end. Suction loss flagged before the pick fails
Up to 960 bottles/hr recovered through maintenance insights alone. No new sensors. Just better use of the data that was already there
Map your line's signals to PackGuru alerts
Send us a topology of your filler, capper and palletizer. We'll come back with the alerts that would fire on your line today