Greyparrot, an AI-powered waste intelligence company, has partnered with Kenvue, a pure-play consumer health company, to advance circular packaging solutions in the face of increasing regulatory requirements.
Using Greyparrot’s Deepnest platform, Kenvue will be able to design products with circularity in mind using evidence-based data from real-world recycling processes.
For example, the company’s AI system can capture how products behave in active recycling facilities in the US and UK, or identify specific packaging components such as pumps or labels that impact detection rates.
You can also model the financial impact of EPR on design changes, such as adjusting translucency or switching material types, before manufacturing a physical prototype.
Yaseed Chaumoo, Managing Director of Deepnest by Greyparrot said: “Data is the ultimate catalyst for changing the landscape of sustainable packaging, and AI has provided the means to deliver those insights on a truly global scale.”
“This collaboration represents an important step beyond waste tracking: leveraging Deepnest’s predictive capabilities to model real-world recovery scenarios.”
Greyparrot explains that while many packaging types are recyclable, recovery rates can be hampered by differences in composition materials and local infrastructure.
AI is more efficient than a hindrance
Greyparrot’s technology is also used by other leading industry companies, including L’Oréal Group, Unilever, and McDonald’s.
“Achieving our circular packaging goals requires moving beyond ambitious guidelines and embracing real-world evidence,” said David Rickstein, Global Head of Packaging Innovation, Sustainability and Experience at Kenvue. “Our partnership with Greyparrot and the integration of Deepnest represents a fundamental shift in the way we approach sustainable packaging.”
“AI-powered waste intelligence enables advanced scenario modeling beyond simple tracking, allowing us to identify the most impactful design changes and implement innovative solutions across our global portfolio faster and more cost-effectively than ever before.”
AI-powered recycling separation detection system improves accuracy and recycling recovery rates.
Recently, Tomra Recycling introduced PolyPerception’s AI-native platform and three deep learning applications for GainNext technology, enabling further collaboration between real-time data and physical sorting actions.
meanwhile, Packaging insights We spoke to creative technologist, designer, and chartered engineer Jude Pullen about how AI can enhance the efficiency and sustainability of packaging using simple algorithms.
