Quality issues in manufacturing often appear after the damage is already done, when parts have moved downstream, rework is required, or scrap piles up. By the time defects are discovered, the cost has already been incurred.
This use case demonstrates how DataQI's AI can predict and prevent quality issues before they result in scrapped parts, moving from reactive to proactive quality management.
