This research paper examines the inventory management and demand forecasting practices of Supreme Industries Ltd., one of India's largest plastic product manufacturers. Using five years of secondary data (FY2020–FY2025) sourced from company reports, ERP dashboards, industry publications, and government databases, the study evaluates demand patterns, inventory efficiency, profitability trends, and division‑wise performance—focusing on Plastic Piping Systems and Consumer Products. Analytical tools such as Excel, Power BI, ratio analysis, trend analysis, benchmarking, and SPSS (correlation, regression, ANOVA) were applied. Results indicate seasonality‑driven demand fluctuations, declining inventory turnover in Consumer Products, overstocking patterns, and profit margin compression. The study suggests strengthening forecasting models, applying ABC analysis, optimizing safety stock, and integrating macroeconomic indicators like IIP into forecasting. The findings highlight the strategic role of analytics‑driven inventory optimization in improving operational performance and competitiveness.