Know what the shop floor is doing while it's still doing it

The one-day-late problem

In most plants, management sees yesterday's production today. By the time a delay or a rejection spike is visible in a report, the shift that caused it is over and the delivery commitment it affects has already been made. The information exists — it's just trapped in registers and whiteboards until someone types it up.

What's included

Job card and work order tracking — planned versus actual quantity and time, by job, operation and operator.

Machine and line status — what each machine is running, idle time and breakdown logging.

Rejection and rework capture — recorded with reason codes at the point it happens, so root causes can actually be analysed later.

Material issue and consumption — material drawn against a job compared to standard consumption, linked to inventory.

Shop floor data entry — tablet or mobile entry designed for supervisors and operators, in the language they use.

Production dashboards — output, efficiency and pending order status visible to management in real time.

Who this is for

Built for auto component manufacturers, textile and garment units and general engineering plants. For a full connected system across purchase, stores, production and dispatch, see our ERP development service.

Frequently asked questions

Do we need machine integration or IoT sensors? Not necessarily. Most of the value comes from capturing what supervisors already know, faster and in a structured form. Machine integration can come later where it's justified — starting there often stalls the project.

Will operators actually enter data? Only if it takes seconds and happens at a point they're already stopping — job start, job end, rejection. We design entry around those natural pauses rather than adding a separate reporting task.

Can this work for job-work and subcontracted production? Yes — material issued to and received from job workers is tracked explicitly, which matters a great deal in Tiruppur and similar clusters.