Unplanned labor
Why Incomplete Data Breaks Automation
Imagine this: You’ve secured executive approval for a major AGV (automated guided vehicle) project. After months of research and planning, implementation goes off without a hitch—until the robots start stalling. Suddenly, your team is back to manually pulling parts.
It’s not the hardware’s fault. It’s the data.
Robots don’t improvise. They depend entirely on the information they receive. If your system has missing or inaccurate weights and dimensions—or parts are mapped to the wrong locations—the automation simply can’t function at peak performance.
It’s Not Just About Robots
Even if automation isn’t on your immediate roadmap, accurate weights and dimensions still play a vital role in daily operations.
- Shipping: Ever tried processing a BOL (bill of lading) without accurate weights? Carriers may estimate—incorrectly—leading to delays and unexpected fees.
- Slotting and Space Optimization: Want to reorganize your warehouse for better picking efficiency or space usage? Without dimensional data, you’re flying blind. You’ll move parts repeatedly before you find an optimal layout—wasting time and labor.
The Cost of Inaction
Missing or inaccurate data leads to:
So How Do You Fix It?
There are a few paths forward, depending on your resources:
- Build an internal team to collect the data (either full-time or as a side duty)
- Invest in equipment like a Cubiscan 325 to measure items in-house
- Outsource to specialists who can quickly and accurately collect the data for you
Yes, building a clean and complete dataset requires investment. But it’s an investment that pays off in fewer errors, lower costs, and more confident decision-making.
The Bottom Line
Operational efficiency starts with good data. Whether you’re launching an automation initiative or just looking to improve your day-to-day logistics, weights and dimensions are foundational. When your data works for you, your entire operation runs smarter, faster, and with fewer disruptions.
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