For Automotive
Recover 6-10 OEE points in Q1. No new hardware.
Quarterly OEE reports show 8-10% slip. Supervisors have theories (night crew, older line, bad batch) but nobody can prove which matters most. Data is fragmented: paper logs, spreadsheets, end-of-day reports. wiseDo starts giving you those answers within the first two weeks of a six-week pilot.
Book a free floor walk
The Problem
Quarterly reports show the slip. Real-time data shows why.
Every quarter, you see the same story: OEE down 8-10 points from plan. Variance reports blame "unplanned downtime" or "setup variance". But which line? Which shift? Which station? Which product mix?
The floor has theories. Night crew runs slower. The CNC on Line 2 needs calibration. Changeovers on certain batches take twice as long. But these are guesses, not data. By the time you have a monthly report, it's too late to act.
Meanwhile, IATF audits are coming. Batch records need to be traceable. Deviation logs need timestamps. Rework and scrap need causal tags. You're building these records manually, one incident at a time.
The wiseDo Solution
Real-time OEE by station, shift, operator and product.
In the first two weeks, see exactly which patterns drag OEE down: by shift, line, operator, product, time-of-day. Targeted fixes, not guesswork. Station-level cycle times measured from the floor. SOP deviations flagged cycle-by-cycle. Bottleneck Pareto showing the handful of factors capping your output.
IATF compliance becomes automatic: batch records, deviation logs, calibration evidence, operator audit trail, all auto-generated from floor data, no manual entry. Scrap and rework tagged with root cause at the point of detection, not reconstructed from memory weeks later.
Quality Rate
First-pass yield improvement
MTTR Reduction
Typical pilot target
OEE Points
Typical recovery in Q1
Why Automotive Plants Choose wiseDo
The automotive-specific case.
OEE benchmarking by tier
Compare your Tier-2 lines against each other and against Tier-1 benchmarks. Shift-by-shift and operator-by-operator. Identify the top 20% performers and replicate their methods across the floor.
IATF 16949 evidence, automated
Batch traveler records, deviation logs, rework justification, operator sign-offs, all auto-generated from production floor data. Audit readiness without the scramble.
Downtime root-cause tagging
Machine breakdown, setup error, material shortage, operator delay: each downtime event tagged and timestamped at the moment it happens. Pareto analysis shows which causes matter most.
The Pilot
Six weeks. One line. Three measured outcomes.
Cost
Fixed fee
Fixed price. No surprises.
Timeline
6 weeks
Mount, calibrate, measure.
Hardware
Yours
Use existing cameras.
Outcome
Real
Measured KPIs, not promises.
Three Measured KPIs
- ✓ True cycle time per station (measured from floor, not estimated)
- ✓ SOP adherence rate (% cycles that follow golden sequence)
- ✓ Top-3 bottleneck breakdown (stations + causes capping output)
How wiseDo is deployed here
Six weeks, step by step.
A tier-2 component line, typically 6 to 12 stations, one shift to start. Nothing on the machines is replaced.
- 1
Floor walk and line map
We walk the line with your production head, agree the pilot line and the three numbers that count (OEE, MTTR, first-pass yield), and map every station, PLC and existing camera on it.
- 2
Cameras and PLC signals connected
Existing IP cameras are pointed at each station; where a station has none, one is mounted. PLC run/stop and count signals are read over OPC UA or Modbus. An edge box goes in a cabinet inside your network.
- 3
One week of calibration
VisionOS learns each station's normal cycle from your own footage. Cycle-time baselines, takt targets and standard-work steps are confirmed with your supervisors, not imported from a template.
- 4
Reason-coded downtime goes live
Every stop is captured the moment it happens and tagged: changeover, material starvation, tool change, breakdown. Supervisors confirm or correct the tag on a phone. Pareto by station and shift updates every minute.
- 5
Scheduling and traceability switch on
The scheduler starts replanning the shift from live cycle times. Serial and lot genealogy runs on every finished part, so IATF 16949 evidence accumulates as a by-product of running the line.
- 6
Review and scale
At week six you see the three numbers against baseline. The next line is added on the same edge box; the same tagging vocabulary carries across so shift comparisons stay honest.
What wiseDo brings
The platform components doing the work.
One platform, one data model. Each component below reads and writes the same event spine, so nothing is re-typed and nothing is reconciled at month-end.
VisionOS
True cycle time per station from your cameras. Slow drift and micro-stops caught as they happen, not at shift-end.
MES
Reason-coded downtime, live OEE by station, shift, operator and product. IATF evidence generated automatically.
Scheduler
Finite-capacity replanning when a station drifts, so the day's takt promise stays real.
Fleet orchestration
When AGVs feed the line, replenishment is called by live consumption, not a fixed loop.
What changes on your floor
Your quality head stops assembling audit binders by hand. Your production head stops learning about a slow station from tomorrow's report. And when a customer audit lands, the traceability record already exists.