This chapter presents a case study that develops, demonstrates, and evaluates an AI-driven decision-support framework for improving energy efficiency in the foundry industry. Although many strategies have been proposed to achieve Net Zero Emissions by 2050, the field still lacks a systematic and explainable framework for operational decision support. Many foundries also lack integrated pipelines for converting raw sensor data into actionable insights. To address these gaps, this study applies the conceptual framework introduced in Chapter 5 and operationalizes it through the algorithms and sub-frameworks described in Chapter 6.