One screen, the whole factory.
Three production lines, running round the clock. A friendly, step-by-step Industry 4.0 rollout — we started with one line, proved it out, and grew from there. The supervisor used to walk the floor every two hours with a clipboard. Now she opens her laptop.
Production ran 24/7, but visibility ended at the supervisor's clipboard. If a line slowed down at 10pm, nobody really knew until the morning meeting. If a machine failed at 2am, somebody on the floor shouted into a WhatsApp group, and whoever was awake tried to help.
Raw material stock lived in a spreadsheet that three people edited and nobody fully trusted. Reorders were gut-feel. Management reports were typed up by admin, and by the time they landed in the inbox they described yesterday.
The ask, in the owner's own words, was this: "Make the factory legible. When something important happens, the right person should know, without anyone shouting."
One platform. One dashboard the managers leave open on their monitors. One phone app for the oncall engineer. Everything in the factory now reports through it.
- Live line view — every production line, every machine, updated in real time. Red means down, yellow means slow, green means hitting target.
- Machine health — the system pings every device every few minutes. The second one stops answering, a WhatsApp goes to the right oncall person based on what time of day it is.
- Raw material inventory — flour, rice, chemicals. Real stock, real movement history, reorder alerts before you run out.
- Demand forecasting — looks at the last twelve months and tells the purchasing team what to buy next week. They stop over-ordering.
- Management reports — daily, weekly, monthly PDFs, delivered to the right people. Admin stopped typing them up.
Managers walk past a live dashboard instead of reading yesterday's report. Machine failures get acknowledged in seconds, not hours. Reorders happen against a forecast, not a hunch.
The supervisor who used to walk the floor with a clipboard every two hours now does it once a shift — and only to talk to her team. The owner, who used to call the factory to find out how production was going, opens an app on his phone.
The platform is still growing. Next up: a smarter scheduling layer that tells production what to make and when, based on orders, stock, and what the forecast says about tomorrow.