Why Master Data is the Key to Robotic Mixed Palletizing 🤖📦

Master data accuracy has never been more important in robotic mixed palletizing. Unlike human workers who can adapt in real time, robots rely on precise dimensions, weight, and packaging details to build stable pallets efficiently.

But here’s the challenge:
⚠️ Inconsistent product data can lead to stacking errors.
⚠️ Small variations in packaging can disrupt automation.
⚠️ Without structured, accurate master data, robotics struggle to optimize pallet builds.

Companies like KNAPP are leading the way in automation, but success depends on data quality.
If your master data isn’t accurate, your robots won’t perform at their best.

🔗 Watch now to learn from Marinus Bouwman at KNAPP why clean master data is the foundation of robotic logistics!