The Use of AI and Technology to Ensure High-Quality Feedstock
Katherine Nellis, Solutions Engineer, EverestLabs
As new circularity and corporate sustainable packaging commitments drive the demand for recycled feedstock, recyclers are struggling with sourcing and verifying high-quality bales to keep up with market demand. This presentation will address how AI can increase the supply feedstock for recyclers by: - Helping MRFs produce higher-quality bales of recyclables, increasing their revenue and making them more competitive in the market. - Improving feedstock traceability, automating bale sorting, and enhancing process efficiency for reclaimers. - Ensure high yield and reduce equipment downtime by removing contaminants from the process.
Katherine is a Solutions Engineer at EverestLabs based out of New York City. With a degree in electrical & computer engineering, she has spent the last 10 years working for large software enterprises across multiple industries. Inspired by the company's mission, she is passionate about helping recyclers uncover how to innovate their operations through the use of data, AI, and robotics.
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