Packaging Analytics
Packaging plants know their material waste number at month-end. What they don't know is which machine, which shift, which substrate, which operator caused it — and that's the only version of the number you can act on.
What we hear from operators
The problems we solve
Material variance is known monthly, not daily
Standard vs actual material consumption is reconciled in SAP at month-end. The number is reported. The head of operations reviews it. And then nothing changes because there's no way to trace it back to a specific machine run, a specific batch of substrate, or a specific operator. The variance is real. The cause is invisible. The month after, it happens again.
Machine OEE is inconsistent across lines
Some lines have automated OEE tracking from the machine controllers. Others rely on shift logs. Most packaging plants have a patchwork — some data is automated, some is manual, some doesn't exist. The result is an OEE number for the plant that's partly real and partly estimated, and nobody knows which parts are which.
Changeover time is tracked but not analysed
Changeover events are logged — start time, end time, SKU before, SKU after. But the data is almost never used to identify which changeover sequences are consistently slower, which lines have the most variation, or whether the standard changeover time in the production schedule reflects reality. It's data that exists and does nothing.
By market
Packaging Analytics — market-specific pages
Each page below covers what packaging analytics looks like specifically in that market — the local ERP landscape, compliance context, and the operational patterns we actually see there.
Singapore & Malaysia
United Kingdom
North America
By industry
Packaging Analytics — industry-specific pages
How packaging analytics applies to the specific systems, metrics, and operational challenges of each vertical.
Technology stack
Start with a conversation, not a proposal
First call is 45 minutes. No deck. We ask about your systems, your team, and your most pressing operational problem. You get a clear view of where the gap is and what closing it looks like.