Published by Bruce Zhou – Jota Machinery
Publish time: 🕙 Thursday, 22 May 2026 — 11:24:26 AM (GMT + 8)
Address: No. 68, Shaojing Road, Economic Development Zone, Kunshan City, Jiangsu Province, China

AI packaging recyclability

Kenvue has partnered with Greyparrot to use AI-powered waste intelligence for improving packaging circularity across its global operations.

The project will use Greyparrot’s Deepnest system to move beyond theoretical design-for-recycling claims and measure how packaging performs in real recycling facilities.

Why This Matters

As PPWR and EPR rules tighten, brands need proof that packaging can actually be:

  • detected
  • sorted
  • processed
  • recovered

in commercial recycling systems.

Kenvue will collect recycling performance data from facilities in the UK and US, focusing on how packaging components such as pumps, labels, translucency and materials affect sortation and recovery.

AI Enables “What-If” Packaging Design

Deepnest will also support scenario modelling before prototypes are made.

This allows Kenvue to estimate how packaging changes could affect:

  • EPR fees
  • recyclability performance
  • material selection
  • sorting success
  • circularity outcomes

Industry Insight

This partnership reflects a major shift in sustainable packaging: brands are moving from recyclability claims to recyclability evidence.

AI-based waste intelligence could become increasingly important as companies redesign packaging for real-world recycling systems, not only lab-based assumptions.

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Last Updated on 22/05/2026 by Jota Machinery

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