Kenvue Taps AI to Bridge the Gap Between ‘Recyclable’ and Recycled

SUMMIT, NJ – May 20, 2026 – Kenvue, the world’s largest pure-play consumer health company, has announced a strategic collaboration with Greyparrot, a leader in AI-powered waste intelligence. The partnership aims to overhaul Kenvue’s approach to sustainable packaging, moving beyond theoretical design principles to embrace evidence-based data on how its products perform in real-world recycling facilities.

By integrating Greyparrot's Deepnest platform, Kenvue will gain unprecedented visibility into the post-consumer journey of its packaging. This move signals a significant shift in the consumer packaged goods (CPG) industry, where the promise of “recyclability” is often disconnected from the reality of recovery rates. The collaboration aims to close this gap, using hard data to drive design changes that have a measurable impact on circularity.

The AI Eye on Waste: How Deepnest Works

At the heart of the partnership is Greyparrot’s Deepnest platform, an AI-driven system that functions as a digital twin for recycling operations. The technology employs high-resolution cameras mounted over conveyor belts inside material recovery facilities (MRFs), capturing a continuous stream of images of waste as it passes through the sorting process.

These images are analyzed in real-time by sophisticated computer vision models. Trained on a massive dataset of over 25 billion waste objects, Greyparrot's AI can identify and classify more than 89 distinct material categories with remarkable precision. The system achieves an average of 98% count accuracy even as waste moves at speeds of up to three meters per second, providing a granular, real-time analysis of the entire waste stream.

For Kenvue, this translates into actionable intelligence. The platform will:

• Quantify Real-World Performance: Instead of relying on lab simulations, Kenvue can now measure how its packaging for iconic brands is actually sorted and processed in facilities across the U.K. and U.S. This includes tracking material purity, contamination levels, and sortation efficiency.

• Pinpoint Design Flaws: The AI can identify specific design elements that hinder recyclability. For instance, it can determine if a certain type of pump, label, or colored plastic causes a package to be misidentified and sent to a landfill. This allows designers to isolate and redesign problematic components.

• Model Future Scenarios: Deepnest’s predictive capabilities enable Kenvue to run “what-if” scenarios. Before manufacturing a single physical prototype, the company can model how a design change—such as switching to a more translucent plastic or altering a material type—would impact both its recovery rate and its financial obligations under tightening environmental regulations.

Navigating a New Era of Regulation

This partnership is not just an environmental initiative; it is a strategic business decision driven by a rapidly evolving regulatory landscape. Governments worldwide, particularly in Europe, are implementing stricter rules that hold producers accountable for the entire lifecycle of their packaging.

Frameworks like the EU’s Packaging and Packaging Waste Regulation (PPWR) and widespread Extended Producer Responsibility (EPR) schemes are transforming sustainability from an aspirational goal into a financial and operational imperative. Under EPR, companies are required to pay fees to fund the collection, sorting, and recycling of their post-consumer packaging. These fees are increasingly “eco-modulated,” meaning brands pay less for packaging that is easily and effectively recycled, and more for materials that are problematic.

This regulatory pressure creates a powerful financial incentive to design for true recyclability. The ability of Greyparrot's platform to model the financial impact of EPR fees based on potential design changes allows Kenvue to make data-driven decisions that optimize for both environmental performance and cost-efficiency. It turns regulatory compliance into a competitive advantage.

From Aspiration to Action: Kenvue's Circularity Challenge

Kenvue has publicly committed to ambitious sustainability targets, including making 100% of its packaging recyclable or refillable by 2025 and achieving a 50% reduction in virgin plastic by 2030. However, progress has been challenging. As of its 2023 fiscal year-end, the company reported that 71.4% of its plastic packaging was reusable, recyclable, or compostable, highlighting a significant gap to close.

This is where the collaboration with Greyparrot becomes critical. It provides the tools needed to accelerate progress and move past broad commitments. David Lickstein, Kenvue’s Global Head of Packaging Innovation, Sustainability, and Experience, stated in the announcement, “To help achieve our circular packaging goals, we must move beyond aspirational guidelines and embrace real-world evidence. Our partnership with Greyparrot...represents a fundamental shift in how we approach sustainable packaging.”

By adopting this technology, Kenvue joins an elite ecosystem of industry leaders, including L’Oréal Groupe, Unilever, and McDonald’s, who are leveraging AI to validate and improve their circular economy efforts. The trend indicates a broader industry recognition that unsubstantiated green claims are no longer sufficient for regulators or consumers.

A Growing Field of Waste-Tech Warriors

The rise of companies like Greyparrot is part of a larger movement in the waste-tech sector. The industry is seeing a surge of innovation aimed at solving the complex challenges of the circular economy. While Greyparrot focuses on providing upstream data intelligence for brands to optimize design, other companies like AMP Robotics are tackling the downstream problem of sorting automation. AMP Robotics deploys AI-powered robotic systems within MRFs to physically pick and sort materials with superhuman speed and accuracy, increasing the purity and volume of recovered recyclables.

Together, these technologies represent a two-pronged attack on waste. One provides the intelligence to design better, more recyclable products from the start, while the other builds the infrastructure to process those products more effectively at the end of their life. As Yaseed Chaumoo, Managing Director of Deepnest by Greyparrot, noted, this collaboration is about using predictive capabilities to empower “actionable, data-led design changes quicker and more cost-effectively than ever before.”

This partnership between a consumer health titan and an AI pioneer is more than just a corporate announcement. It represents a tangible step toward a system where packaging is designed with its end-of-life journey in mind, backed by empirical data rather than hopeful assumptions. It sets a new benchmark for accountability and innovation, demonstrating how technology can help finally close the loop in the circular economy.