Enhancing Circular Economy in Consumer Electronics : Data-Driven Strategies for Improving E-Commerce Returns of Personal Care Electronics

Consumer electronics, particularly personal care electronics, present unique challenges for Circular Economy (CE) adoption due to short product lifespans, rise in returns and increasing e-waste. This research investigates the application of data-driven methodologies to returns data in the personal care electronics sector to support sustainable returns management and CE objectives. A Systematic Literature Review, Design Science Methodology, and CRISP-DM frameworks were followed to guide the research. Using a dataset from an electronics company, various data science and machine learning techniques were explored in the context of CE implementation. Future research could focus on exploring alternative machine learning approaches and integrating sustainable practices into CE oriented systems.