November 2, 2025

Why It's Time to Move Beyond Traditional Barcodes for Industrial Part Tracking

Most manufacturers rely on barcodes to track parts. And on paper, it sounds like a perfect system:

✅ Apply a code
✅ Scan it downstream
✅ Get full traceability

But here’s the catch:

Most codes are applied at the very end of production, right before packaging.

Which means everything that happens before that, forming, blasting, heat treatment, coating, gets lost.

And even if you try to mark parts earlier?
⇨ Heat distorts it
⇨ Shot blasting removes it
⇨ Coatings obscure it
⇨ Surface wear scratches it

At the very moment you need traceability, during transformation, it's gone.

This isn’t just a technical nuisance. It creates serious business risk:
⇨ No product-level accountability
⇨ Increased scrap and rework
⇨ Quality escapes that impact customers
⇨ Lower supplier scores
⇨ In extreme cases: recalls or returns

That’s exactly why CDOT AI Code was developed, a new standard for industrial traceability.


✅ Not based on visual patterns
✅ Not limited by surface integrity
✅ Not destroyed by heat, paint, scratches, or coatings

CDOT AI Code is frequency-based. It embeds a physical signal into the part’s surface.

Kudzai Manditereza

Founder & Educator - Industry40.tv

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.

Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.