Scaling AI inspection across 100+ SKUs.
More than a hundred products, each with its own characteristics. Legacy inspection needed reference data for every one of them, so it never worked.
You make high-value film for critical applications.
Picture this. You manufacture high-value industrial films for critical applications. Your lines produce more than 100 SKUs, each with its own characteristics, and customers expect every roll to meet exacting quality standards.
But legacy inspection cannot tell your products apart.
You try the legacy options and they fail. With so much product variation, their systems cannot reliably distinguish genuine defects from acceptable differences without direct reference data for every SKU. That leaves employees inspecting products manually, a slow process that still cannot catch everything moving through the line.
A single defect can cost your business as much as $100,000 in customer chargebacks.
So you turn to Shelfmark.
Shelfmark’s Physical AI inspection platform is installed directly on the line, providing continuous, real-time inspection across your entire product range. Shelfmark uses a diverse defect dataset built on customer data, which enables the system to recognize problems across highly variable products without requiring a separate reference dataset for every SKU.
Now 100% of your product is inspected at line speed.
Shelfmark runs at line speeds of up to 350 feet per minute and detects defects as small as one millimeter, including problems the human eye would otherwise miss. Your people no longer have to keep pace with an impossibly complex inspection process, and your business has far greater protection against costly defects reaching customers.