Solving a 30-year defect, and saving millions.
Blistering had resisted every attempt to explain it since before most of the plant was hired. Nobody had ever measured it.
One of your core products has blistered for 30 years.
Picture this. You are a billion-dollar industrial film manufacturer. One of your core products has suffered from blistering for 30 years, resisting every attempt to explain or eliminate it.
But the defect drives scrap rates as high as 10%.
Your teams can see the blistering, but they cannot measure it consistently or connect it to a cause.
Without empirical defect data, every investigation ends with another theory instead of an answer.
So you turn to Shelfmark.
AI-powered inspection is deployed directly on the line to detect blistering in real time and quantify its severity for the first time. That creates the empirical defect data your team needs to connect what is appearing in the product with what changed in production.
Now the pattern is clear.
Shelfmark data traces the blistering to specific batches of supplier material, giving the supplier the evidence needed to find and resolve the root cause. A problem that resisted investigation for three decades becomes visible, measurable and preventable, saving your business millions in scrap and rework.
