For FMCG
Capture every micro-stoppage. Cut energy 10-18%. Improve yield 5-10%.
High-throughput lines produce 1000+ units per shift. Operators react to visible problems. Micro-stoppages (5-30 seconds) bleed energy, time, and yield but are never logged. wiseDo captures every stoppage, every changeover, every scrap event — with timestamps and root cause.
Book a free floor walkThe Problem
The micro-losses that hide in plain sight.
On a 1000-unit/shift line, a 5-second stoppage happens 50 times a day. 250 seconds. Over 4 minutes of invisible waste. Nobody logs it. The supervisor doesn't know until the daily report says output is 5-10 units short.
Energy costs scale with production. If half your stoppages are changeover-related, you're running the heater/cooler for changeover duration when it could be in standby. That's 10% of your energy budget on invisible waste.
Scrap and rework get logged at end-of-shift. Was it a material batch? Line calibration? Operator error? By then, nobody remembers.
The wiseDo Solution
Continuous vision-based supervision. Pareto analysis on the micro-losses.
Every micro-stoppage, every changeover, every scrap event is captured, timestamped, and correlated against shift, line, and product. Pattern analysis identifies the high-impact improvements.
Result: 10-18% energy reduction per unit of output. Changeovers optimized. Scrap and rework traced to root cause at the moment it happens.
Energy Reduction
Yield Improvement
Stoppages Logged
Why FMCG Plants Choose wiseDo
From micro-losses to measurable improvement.
SMED timing and changeover analytics
Measure setup and changeover times for each product variant. Identify which changeovers slip and why. Benchmark shift-to-shift performance.
Energy cost optimization
Correlate stoppages to auxiliary system runtime (heating, cooling, vacuum). Shift loads to off-peak tariff windows. Track cost per unit produced.
Scrap root-cause tagging
Every scrap event linked to line state at that moment: changeover, temperature, material lot, operator. Patterns emerge quickly.