Nine out of ten factories struggle with labeling, and the consequences can be costly. Inaccurate or inconsistent labels often result in production errors, shipment delays, regulatory noncompliance, product recalls, and increased operating expenses. These problems are commonly caused by manual data entry, unclear labeling standards, outdated equipment, and insufficient quality checks. By identifying these pitfalls and implementing standardized workflows, automated verification, reliable printi