Production. Better every day.
Production never stands still.
Neither should its optimisation.
production.AI is the software platform for manufacturers: it connects your production data and makes optimisation routine.
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Optimisation is not a project.
Orders change, tools wear, and every shift works a little differently. An optimisation project captures the state it found at the start. production.AI works continuously with the current state and measures what each action achieves.
Complete production context instead of data silos
Machine states, orders, downtime, quality, tools and ERP feedback belong together. Only once these data are linked can you find the cause of a stoppage and recognise a pattern behind individual deviations.
Action instead of reporting
A dashboard shows that something is being lost. production.AI also shows where the losses arise and who is taking care of them. Every insight becomes an action with an owner, and everyone can see what remains open.
Impact measured, not claimed
Every action is linked to the metrics it is meant to improve. So you can see later whether it worked, and just as clearly when it achieved nothing. That is how improvement becomes routine.
Your production delivers data. Does it also deliver the next step?
Machine, ERP, shop floor and quality data usually sit in separate systems. You can see that a line is down, but not why. Improvements run as individual projects with a beginning and an end. More reports are of little help. What matters is acting faster, and on a better basis, every single day.
Request a discovery callWhere production.AI comes in
Downtime & OEE
Unplanned downtime is the largest reserve in most plants. production.AI records run times and stoppages directly at the machine, lets operators add causes and assigns every stoppage to an order, a shift and a tool. Instead of a single availability figure, you see a prioritised list of loss drivers from which your team derives actions.
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Shop floor data & ERP
Whether order data is correct is decided at the machine. production.AI makes feedback simple there, checks it for plausibility and reconciles it with the ERP. If a report is missing or contradicts another, you see it before planning and costing have to rework it.
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| Checkpoint | Status |
|---|---|
| Dimensional accuracy± 0.05 mm | Not OK |
| SurfaceRa 0.8 | OK |
| BurrsVisual check | OK |
Quality & tooling
Scrap arises under particular conditions. production.AI brings process and quality data together with tool history, maintenance and tryout. So you can see whether a deviation is linked to a tool, a material or a shift. Causes can be narrowed down faster, and a defect that has occurred once is noticed earlier the next time.
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Action management
Improvement rarely fails for lack of ideas, more often for lack of follow-through. With IDA, the issue and action management of production.AI, you record every insight as an action with an owner, a due date and a status. Every action stays linked to its metrics, so you can see at any time what is open and what has worked.
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Reported cause: material shortage.
Shop floor chat & AI analytics
Ask your production. In the shop floor chat, employees put questions to their own production data in plain language, for example: “Why was press 3 down yesterday afternoon?” The answer points to the relevant stoppages, orders and tools. AI analytics searches downtime, quality and tool data for patterns and flags anomalies. The decision rests with your team.
More about the platformFrom data to actions in three steps
1. Connect
production.AI brings machines, shop floor data, quality, tools and ERP together in one shared production context. Every data point is assigned to a machine, an order and a shift.
2. Understand
Loss drivers, causes and patterns become visible in context and are ranked by their economic significance, because not every deviation matters equally.
3. Improve
Your team prioritises actions, assigns them to owners and tracks them through metrics. So you can see what an action has achieved and where to start next.
How much optimisation potential is there in your production? We show where it typically lies.
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