Industries · Food & Beverage

MachineWise for Food & Beverage.

Live OEE, condition-based monitoring and predictive maintenance — engineered for food and beverage plants. Software-first deployment, rupee-denominated results.

Filling & packing linesOvens & fryersMixers & blendersRetortsCold rooms & chillers
LINE 2 · FILLING · MICRO-STOPS THIS SHIFTLIVE
Filler9 · 11 min
Capper14 · 17 min
Labeller31 · 38 min
Checkweigher6 · 5 min
Case packer11 · 14 min

Stops under 2 minutes, counted per station. Labeller jams cost 38 min this shift, more than the last SKU changeover.

IllustrativeSKU 250 ML PET
What this floor loses today

The losses every food and beverage plants knows — and nobody measures.

CHANGEOVER

SKU changeover sprawl

Twenty SKUs a day means twenty changeovers — each a black hole. Changeover time per SKU-pair, measured and compared.

MICRO-STOPS

Line stops under 2 minutes

Jams, misfeeds, label snags — too small to log, big enough to eat 20% of a shift. Micro-stop density per station, automatically.

ENERGY

Cold-chain leakage

Chillers and cold rooms run 24×7. Energy signatures flag compressor degradation and door-discipline losses before the bill does.

Purpose-built, not repackaged

OEE · CBM · Predictive Maintenance — dedicated to food & beverage.

The same MachineWise platform, tuned to the machines, cycles and failure modes of this industry.

LIVE OEE

OEE for this floor

  • Line OEE with station-level stop attribution
  • Changeover matrix by SKU-pair
  • Micro-stop density and jam hotspots
  • Giveaway and speed-loss tracking vs rated line speed
CONDITION-BASED MONITORING

CBM for these machines

  • Compressor and chiller health signatures
  • Oven/fryer temperature profile monitoring
  • Pump and motor current trends on process lines
  • Utilities monitoring: air, steam, refrigeration
PREDICTIVE MAINTENANCE

PdM for these failure modes

  • Refrigeration compressor failure early warning
  • Filler and capper wear indicators from cycle data
  • Oven element degradation prediction
  • Interventions scheduled between production windows
Station-levelStops attributed along the line
SKU matrixChangeover time per product pair
24×7Cold-chain energy, watched always
Questions

Straight answers.

How are micro-stops measured on a packing line?
Every stop is captured automatically per station, including the jams, misfeeds and label snags under 2 minutes that nobody writes down. Micro-stop density per station shows where the shift really goes. See the six big losses.
How is changeover time tracked per SKU?
Each changeover is timed and stored against the pair of SKUs it ran between, building a changeover matrix you can compare and improve.
Can chillers and cold rooms be monitored?
Yes. Smart energy meters and condition signatures on refrigeration compressors flag degradation and door-discipline losses before the bill does, with early warning on compressor failure.
How is speed loss tracked on a food line?
Actual line speed is compared with rated line speed alongside giveaway, so a line that runs all shift but slow shows up in OEE performance instead of hiding.
Ready when you are

Run a free 2-machine pilot on your food and beverage plants — live this week.

Two machines, thirty days, zero cost to start. Live OEE, downtime truth and a plant-specific ROI model — your data on-premises throughout.

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FREE 2-MACHINE PILOT
Live OEE on two of your machines — this week. ₹0 to start.
Software-first setup in under an hour each · your data stays on-premises · plant-specific ROI model included.