Pillar 03 · MaintenanceWatch the signals

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

Technician inspecting pneumatic hoses inside a machine cabinet
[ find the leak before the sensors do ]
01 /The problem

The calendar says the machine is fine. The machine disagrees

Quarterly service is a guess dressed up as a plan. Parts wear by cycles, pumps clog by product mix, springs die by count — none of them read the calendar

LEAK · TIMING

Service by calendar, wear by cycles

A cap-sorter spring lives N million cycles. A high-SKU line hits N on a Tuesday the plan never saw coming

LEAK · SIGNAL

The worst failures have no alarm code

Foam dust clogs a vacuum pump over weeks with no sensor watching. The first official symptom is a dead line mid-shift

LEAK · COST

Reactive repair pays triple

The same spring: replaced at changeover, it costs a part. Replaced after failure, it costs a part, a shift, and 6,000 bottles

02 /What changes

Same processes, measured before and after

PROCESS KPI TODAY WITH PACKGURU
Intervention timing planned vs emergency run to failure, fix in panic flagged early — one spring swap before failure saves 6,000+ bottles
Failure modes without sensors detected pre-failure invisible until breakdown pattern-detected from pick times, load shifts and pressure drift
Maintenance windows work done at changeover whenever it breaks recommended at the next natural stop — no extra line stop
Wear parts tracking cycle-based replacements calendar guesses counted per machine — springs, seals, hoses replaced on evidence
03 /How it works

The alert lands before the failure does

pick time / pressure drift days PackGuru alert days of margin Failure line stop · 6,000 bottles
04 /From real deployments

Eight maintenance use cases

Capper

Torque drift

FlexiCapper torque profile starts to wander. PackGuru flags it, suggests likely cause and creates the work order

Caught before reject spike — three rejects per shift, not three per minute
Delta robot

Vacuum pipe degradation

Pick-time creeps up by 30 ms. The vacuum hose has lost suction. PackGuru tells maintenance to replace it this week

Replace the hose before throughput drops, not after
Sealing

O-ring wear on cappers

Pressure-spike pattern signals a seal change. Action goes out before the leak

A failing seal caught early = thousands of units saved
Motors

AC motor overheat

Clogged filters from foam interlayers detected from temperature curve, not from a hand check

Foam → filter → motor — caught at step one
Vision

Vision-system collisions

System catches its own collision frames and tells you when LED or belt needs cleaning

Fewer collisions = fewer stoppages = more bottles per shift
Multicarrier

Friction trending

Predicts which carrier needs disassembly before it becomes a stop

Service the right carrier, not the whole batch
Capping

Head deflection

Detected from a deflection-curve anomaly — caught at fitting, not at failure

A worn spring caught early saves 9,000 bottles
TransNova

Suction analysis

Co-deployed palletizer cycles tracked end-to-end. Suction loss flagged before the pick fails

Pallet doesn't fail — pick doesn't fail — line doesn't stop
Anchor case study

Up to 960 bottles/hr recovered through maintenance insights alone. No new sensors. Just better use of the data that was already there

— Tier-1 personal-care site · names disclosed under NDA

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