AI-Driven Solutions for E-Waste Management in IT Supply Chains

Abstract

The rapid growth of IT infrastructure has led to a surge in electronic waste, posing significant environmental challenges. This paper presents an AI-powered system for e-waste management, focusing on efficient recycling, repurposing, and disposal processes. Using machine learning algorithms such as convolutional neural networks (CNNs) and decision trees, the system classifies e-waste components and predicts optimal recycling pathways. A pilot deployment in an IT manufacturing hub resulted in a 30% increase in recycling efficiency and a 20% reduction in landfill contributions. The findings contribute to SDG 12: Responsible Consumption and Production and SDG 11: Sustainable Cities and Communities, promoting sustainable practices in IT supply chains.