The AI-ECO-INNO is a web-based Eco-Innovation Performance Information System that empowers firms to monitor and enhance their eco-performance using advanced Artificial Intelligence. It features an intuitive indexing system for tracking progress, Natural Language Processing (NLP) for automating data input, and predictive analytics to forecast future performance based on eco-indicators. By simplifying data management, providing actionable insights, and aligning with sustainability goals, AI-ECO-INNO enables businesses to optimize their strategies and lead the way in eco-innovation for a sustainable future.

SDGs 7, 12, and 13 collectively play a pivotal role in promoting affordable and clean energy, responsible production and consumption, and climate action, with far-reaching implications for Malaysia’s energy sector and societal well-being. This prototype aligns with these goals by enabling firms to track and enhance environmental performance, fostering transparent and robust eco-innovation reporting that informs stakeholders and promotes corporate responsibility. For academia, the prototype bridges a critical gap by providing a practical tool to measure eco-innovation, inspiring scholars to develop systems for tracking eco-innovation diffusion across sectors. Policymakers can leverage trends and performance data generated by the prototype to formulate evidence-based environmental policies and frameworks. Furthermore, industry benefits as energy firms gain the ability to capture, document, and communicate environmental data effectively, improving both reporting and stakeholder engagement while advancing global efforts toward sustainable energy, consumption, and climate resilience.