Artificial intelligence is reshaping the recycling industry, and redefining what’s possible in circular packaging. In AI Driven Material Recovery Facilities: Maximizing Recycled Feedstock for Circular Packaging, we explore how next-generation material recovery facilities (MRFs) and their partners are using computer vision, robotics, and real-time analytics to identify, separate, and optimize post-consumer packaging streams. Featuring insights from the 2025 Packaging Recycling Summit, the segment reveals how AI deployments are delivering measurable gains in capture yield and bale purity, while feeding valuable operational data back into design-for-recyclability strategies. The result: a smarter, data-driven foundation for scaling circularity across the entire packaging value chain.
Learning Objectives:
- Understand how AI technologies are transforming material recovery facilities (MRFs): Learn how computer vision, robotic sorting, and real-time analytics tools are improving capture yield, bale purity, and operational efficiency across recycling systems.
- Explore the business and circularity impacts of AI-driven recovery: Discover how data intelligence is turning circularity into a strategic advantage—enhancing supply quality, reducing costs, and creating new value streams for recyclers and brand owners alike.
- Recognize how recovery data informs packaging design and brand circularity goals: See how insights from AI-powered sortation are helping brands track, reclaim, and redesign packaging for greater recyclability and alignment with next-generation circular economy standards.