Retail Sales Forecasting and Seasonal Trend Analysis using SARIMA
This Workflow aims to analyze and forecast monthly retails sales trends (2020-2025) using Time Series Analysis. The goal is to build a data-driven forecasting model capable of accurately predicting future sales while capturing both trend and seasonal patterns. Forecasting Retail sales helps optimize inventory management, financial planning, and strategic marketing decisions. By Leveraging SARIMA workflow in KNIME, this workflow demonstrates a fully automated, reproducible, and interpretable time series forecasting pipeline - without requiring a direct coding.
