@misc{20.500.12880/12614,
year = {2025},
month = {6},
url = {https://hdl.handle.net/20.500.12880/12614},
abstract = {In an era of heightened environmental consciousness, EcoPulse emerges as a pioneering AI-driven platform addressing critical gaps in sustainability monitoring within supply chains. This thesis explores the transformative potential of artificial intelligence in revolutionizing real-time tracking of energy consumption, waste production, and harmful emissions. By making use of advanced AI systems, EcoPulse offers a solution to the pressing challenges of data accuracy, supply chain transparency, and proactive decision making in sustainability practices. The platform aims to bridge the technological divide in developing countries, where implementation of digital solutions has lagged. Through continuous monitoring and data-driven insights, EcoPulse empowers businesses to 
enhance their sustainability efforts, reduce environmental impact, and meet evolving regulatory requirements. This business plan examines the integration of AI in supply chain management, its benefits in improving efficiency and reducing costs, and the potential to drive meaningful progress towards global sustainability goals.},
title = {EcoPulse: “AI-driven real-time sustainability monitoring in supply chains”},
keywords = {Inteligencia artificial},
keywords = {Sostenibilidad},
keywords = {Cadena de suministro},
author = {Katundu, Qualexus},
}