See downtime and demand changes before they hit the line.
AI Grid brings together production, maintenance, quality and order data to show manufacturing teams what is likely to happen over the next twelve months. It forecasts demand and capacity, flags machines whose patterns point to failure, and explains what is driving each forecast in plain English.

Most plants find out about a problem when the line stops.
Production plans are usually built from last year’s figures and a spreadsheet, and maintenance runs to fixed schedules. Early signs of trouble, such as rising micro-stoppages, longer changeovers or a drift in scrap rates, sit in separate systems where nobody joins them up. AI Grid joins them up and turns them into a forecast you can plan around.
Predictive manufacturing operations
Three things manufacturing teams use AI Grid for first.





Demand plans come from last year’s orders and sales team instinct, so capacity is either short or sitting idle.
Maintenance runs to fixed intervals, so some machines are serviced too often and others fail between services.
Scrap, OEE and energy are reported after the month ends, when it’s too late to act.
AI Grid forecasts demand twelve months ahead by product and site, so you can plan shifts, materials and overtime with real numbers.
AI Grid spots the patterns that come before a breakdown and ranks machines by risk, so engineers go where they’re needed.
AI Grid forecasts them week by week and warns you when a line is drifting, while there’s still time to fix it.
Measure what matters
AI Grid tracks and forecasts the measures plant and operations managers report on.
Overall Equipment Effectiveness
How much of planned production time is truly productive, by line and by shift.
Unplanned Downtime
Hours lost to breakdowns, and which machines are most likely to fail next.
Demand vs Capacity
Forecast orders against what each line can make, month by month.
Anything else you record
If your teams already keep it, it can be forecast the same way.
Tell us what you measure
From firefighting to planning ahead
- Use the data you have.
- We work from your existing MES, ERP, maintenance and quality records. No new sensors or IT project needed to start.
- Answers people can act on.
- Every forecast comes with the reasons behind it in plain English, so plant managers trust it and act on it.
- Set up with you.
- We connect your data and build the first forecasts alongside your team.
Frequently asked questions
Yes. Most plants already record stoppages, fault codes, run hours and maintenance work. AI Grid finds the patterns in those records that come before a breakdown, and adds sensor data later if you have it.
Typically 12 to 24 months of production output, downtime and fault logs, maintenance work orders and sales orders. Spreadsheet exports are fine to start with.
Twelve months, broken down by product, site and week or month, with a range that shows how confident the forecast is.
No. It sits alongside them, reads their data and adds the forward view they don’t give you.
See what’s coming on your lines
Book a 30-minute demo and we’ll show you AI Grid forecasting demand and downtime on data like yours.



