01 Material & scrap
Rejected quantities, material use and recovery value, with consistent units and agreed costs.
Which product, mould or recurring defect deserves attention first?
CLARITY FOR THE FACTORY FLOOR
Your data is
working hard.
Make it useful.
Turn scattered production records into clear decisions. With people who understand the factory behind the numbers.
Your operational data stays in your environment.
THE JOURNEY OF A NUMBER01 → 02
XLSshift_report_final_v3
ShiftOutputScrapA1,240—B1.18042
Different formats. Same questions.SQLproduction_export
batch_id output rejects
WO-014 1200 35
WO-014 1200 35
! Duplicate record
WO-014 1200 35
WO-014 1200 35
! Duplicate record
RECONCILE · VALIDATE · UNDERSTAND↓
Production overviewILLUSTRATIVE
Good output24,860pcs
Reject rate4.2%
Records checked100%
Loss visibility, by shift■ Output ■ Loss
MONTUEWEDTHUFRISAT
✓ Traceable figuresReady for your daily meeting ↗
Illustrative interface · calculated synthetic data in the demo
BUILT ON EXPERIENCEProduction management+Quality systems+People & processes
01 / LOOK BEYOND THE SPREADSHEET
A clear chart starts
with an honest number.
A missing shift. A different unit. Rework counted as good output. The real story can disappear long before the report is ready.
We bring production, quality and team management experience to the records you already keep. We question what the numbers mean on the floor, then build a practical way to use them.
01
Trust the inputs
Check units, duplicates, missing records and definitions.
02
See the right problem
Connect the result to a process, shift or product.
03
Act while it matters
Give your team a repeatable daily review and action routine.
02 / AN EXPERIENCE FROM THE FACTORY FLOOR
From the monthly
presentation.
To the daily decision.
A parameter analysis took 3–4 hours, so results were shared in monthly presentations. A dashboard made the analysis available in seconds. Daily visibility helped the team act sooner.
An anonymised engagement described by the founder. The metric is confidential. Improvement followed daily operational actions; results vary by process.
ANALYSIS TIME
3–4 hrs → seconds
TRACKED PROCESS RATE
26% → 10.5%
Earlier visibility. Daily action. Measurable progress.
03 / COST REDUCTION, GROUNDED IN YOUR PROCESS
Find the losses.
Protect your margin.
Put a cost against recurring losses.
Choose the next action with evidence.
Scrap consumes material. Rework uses capacity twice. Unplanned stops disrupt the shift. We connect your production records with the realities of the floor to identify where improvement is worth the effort.
WHERE TO LOOKWHAT WE EXAMINETHE DECISION IT SUPPORTS
02 Rework & quality
Repeat operations, extra inspection and internal failure costs that can disappear inside output totals.
Where would resolving a recurring cause release the most effort?
03 Downtime & capacity
Stop reasons, changeovers, schedule disruption and overtime in the context of actual demand.
Which bottleneck or repeat stop should the team tackle next?
04 Reporting & team time
Hours spent collecting, reconciling and preparing reports that arrive too late to act on.
Which routine can become a daily check, freeing time for the floor?
BASELINE → ACTION → REVIEW
Agree the starting point. Assign an action and an owner. Compare the result under comparable production conditions, accounting for implementation costs.
We distinguish cash savings from released capacity and time. Cost estimates use your agreed rates; the same loss is not counted twice.
04 / A SIMPLE WAY TO START
One problem.
A useful first step.
No system migration to start.
No production database to send us.
Show us the friction.
Describe the problem, or share your column layout and 10–15 made-up rows. Keep real operational records inside your business.
Know what you’re buying.
Receive a feasibility review, clear deliverables and a fixed quote. Start with one process and a small set of useful measures.
Turn visibility into action.
Your team loads real data locally, validates the numbers and owns the daily routine. Optional support is there when needed.
EXPLORE BEFORE YOU COMMIT
Less data chaos.
More “now I see it”.
Filter a synthetic production dataset. Find the bad records.
See why a trustworthy KPI starts with a check.
LET’S MAKE YOUR NEXT DECISION EASIER.