A real-world case study of efficiencies gained through process automation.
This case study highlights a U.S.-based recycling facility that implemented AI-driven sorting and automated chemical treatment lines. After deployment, lithium recovery improved from 78% to 95%, while operational costs dropped by 18%. The integration of machine learning helped the plant optimize real-time separation and reduce material losses.












