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Scenario (example) · Manufacturing
Production reporting: an example scenario
This is a scenario, not a client result. It shows what a pilot at a manufacturing company could look like.
🔊 With voice-over and subtitles
The problem (example)
Every Monday the COO gets a report for the past week: output, scrap, downtime, maintenance. The data sits in the ERP, in the shift Excel sheets and in the technicians’ notes. Someone pieces it together by hand, and the report is often late.
How it would work
Data
Data from the ERP and shift sheets is read automatically, read-only.
Notes
The technician dictates a note, AI turns it into text and tidies it up.
Report
AI fills in the report template and flags gaps and deviations.
Approval
The director reviews and approves; the report goes to management.
The boundaries
- Production lines and control systems are not touched
- In the ERP, AI only reads and never writes
- Data stays in the EU
What we would measure
In the pilot we would measure: time to prepare the report before and after; how often the report is late; how many corrections the director makes.
This is a scenario with no measured result. Our real case study is in FMCG and distribution.
How the pilot would run
4–6 weeks, one report
Week 1: analysis of the report and template. Weeks 2–3: connecting the data and the first reports. Weeks 4–6: real reports, corrections and measurement. Then you decide whether to scale.
Is this a real case study?
No. It is a scenario that shows how we work in manufacturing. Our real case study is in FMCG / distribution.
Can we try it with our own data?
We start with a demo on synthetic data, then run a pilot with your data, under contract and NDA.
Next step
Show us one process that slows you down
In the demo you see a working solution on synthetic data instead of a slide deck. Then you decide whether to move on to analysis and a pilot.