This project involves designing and implementing a data-driven system to forecast future sales using historical transaction data. The system analyzes trends, seasonality, and demand patterns to generate accurate short- and medium-term sales predic…
This project involves designing and implementing a data-driven system to forecast future sales using historical transaction data. The system analyzes trends, seasonality, and demand patterns to generate accurate short- and medium-term sales predictions that support business planning, inventory management, and revenue forecasting.
The project covers the complete analytics lifecycle, including data preprocessing, feature engineering, time-series modeling, and performance evaluation. Multiple forecasting techniques are applied and compared to identify the most reliable model based on standard accuracy metrics. Forecast results are presented through clear visualizations and an interactive dashboard, enabling stakeholders to easily interpret predictions and make informed decisions.
This project demonstrates practical application of statistical forecasting, business analytics, and data visualization in a real-world sales context.
