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 gives you the answers in two weeks.
Book a free floor walkThe 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
₹3-5L
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)