Your other systems know what comes in the front door and what leaves out the back. Workfacta shows you what happens in between: accurate OEE, profit and throughput for every machine at the end of every shift, with AI turning what it finds into assigned improvement actions.
Your ERP and other systems record what comes into the plant and what leaves it. Almost nothing shows what happens in between, and that is where time, throughput and money are won or lost.
Workfacta doesn’t replace the systems at the doors. It completes the picture, showing how the plant turns what came in into what went out, and if it was profitable.
Thirty minutes after every shift closes, Workfacta sends a complete performance report straight to your team. No clipboards, no spreadsheets, no waiting until the end of the month to find out if things went wrong.
| Line | Avail. | Perf. | Qual. | OEE |
|---|---|---|---|---|
| Line 1 — Press | 88% | 86% | 96% | 72.7% |
| Line 2 — CNC Cell | 91% | 101% | 95% | 87.3% |
| Line 3 — Filler | 55% | 66% | 88% | 31.9% |
Every shift report comes with an instant analysis of all your machine data. Workfacta’s managerial AI flags anomalies and outliers the moment they appear, then tells the right person what to do about it.
Most plants already collect some of the data. The gap is what is missed and what happens next. Workfacta closes it automatically.
Generic dashboards measure generic businesses. Workfacta comes preloaded with the metrics that actually move a manufacturer, organised the way your team already thinks about them, from the line to the loading dock, as a complete, manufacturing-specific KPI library that loads straight into your workspace the moment you sign up.
The old improvement cycle took weeks, if it happened at all. Now it starts at the end of the shift. Data becomes insight, insight becomes an improvement action, and the loop closes when the improvement shows up in the next shift’s numbers.
All your shift data and suggested actions stream straight into the Workfacta meetings tab. Every open action is reviewed at the next meeting, organised and ready to discuss, so meetings run faster and get more done than ever before.
| Description | Weekly | Mon | Tue | Wed | Thu | Target | Trend | |
|---|---|---|---|---|---|---|---|---|
| 0 | Unplanned stops (hrs) | 11.2 | 3.1 | 2.4 | 4.0 | 1.7 | < 8 | |
| 0 | Availability | 86.0% | 84.2% | 88.1% | 82.5% | 89.3% | > 90% | |
| 0 | Performance | 89.4% | 87.0% | 91.2% | 88.4% | 91.0% | > 95% | |
| 0 | Quality | 99.1% | 99.0% | 99.3% | 98.9% | 99.2% | > 99% | |
| 0 | OEE | 76.2% | 72.5% | 79.8% | 72.1% | 80.6% | > 80% | |
| 0 | Net profit ($k) | +4.21 | +0.62 | +1.84 | -0.41 | +2.16 | > 0 | |
| 0 | Units produced | 64,380 | 15,820 | 16,410 | 15,240 | 16,910 | > 64,000 |
| Shift | OEE today | vs benchmark | Units to hit target | Focus |
|---|---|---|---|---|
| Morning | 82.0% | ▲ 2.0pp | On target | Hold |
| Afternoon | 77.0% | ▼ 3.0pp | +410 / shift | Speed |
| Night | 61.0% | ▼ 19.0pp | +2,560 / shift | Availability |
Set one benchmark for your morning, afternoon and night shifts and measure them all against it. See exactly where the inefficiencies are, which teams need focus, and what it will take to hit your plant’s unit production targets.
OEE vs plant benchmark of 80% · example data
See how each team member is performing, so reviews are easier, fairer and more useful. Show people where they are succeeding, where to improve, and what to focus on next period.
Hand counts and supervisor-timed downtime are the two biggest sources of error in plant reporting. Workfacta is built so machine data can feed it directly, and every step toward automation makes your numbers more accurate.
Can’t find what you’re looking for? Reach out to our team, we’ll get you a straight answer fast.
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