Prof.Shaik.Aseen Babu,A.Srikanth,K.Shiva Reddy 02 05(1) Financial ratio analysis is a cornerstone of corporate financial evaluation widely used by managers investors and researchers to measure an organizations operational efficiency liquidity profitability and solvency This study focuses on Mother Dairy a key player in Indias cooperative dairy industry whose unique seasonal demand patterns and dependence on agricultural supply chains create distinct financial challengesTraditional ratio analysis reveals important trends over time but remains lagely descriptive and backwardlooking To address this limitation this study integrates modern AI tools applying Machine Learning ML models such as Random Forest and XGBoost to identify critical financial ratios that most significantly impact profitability Further Deep Learning DL models specifically Long ShortTerm Memory LSTM networks are used to forecast key ratios like current ratio and profit margins capturing seasonality and volatility that conventional models often missThe results show that AIenhanced analysis not only increases forecasting accuracy but also uncovers subtle patterns and drivers transforming static financial ratio analysis into a dynamic datadriven decisionsupport tool Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026