What Mohith demonstrated

Built an end-to-end demand forecasting workflow on 9,648 historical transactions: resampled sales to monthly series, decomposed trend and seasonality, and compared a moving-average baseline, linear regression, and SARIMA using a leakage-free train/test split. SARIMA performed best on the held-out period, and the analysis translated the results into a practical inventory recommendation for the West region and online channel.

• Leakage-Free Time-Series Splitting
• Comparative Forecast Model Evaluation
• Seasonality and Trend Diagnosis
• Business-Oriented Insight Synthesis