This project aims to analyze demand forecasting methods in retail operations and recommend improved planning strategies to balance supply with customer demand while minimizing inventory costs and stockouts.
Collect historical sales and demand data.
Study current forecasting techniques used by the organization.
Apply quantitative forecasting models such as moving average.
Compare forecast accuracy with actual sales data.
Identify demand fluctuations and seasonal trends.
Recommend improved forecasting models.
Analyze impact of forecasting errors on operations.
Suggest integrated planning between sales and operations teams.
Develop dashboard to monitor demand trends.
Conduct financial analysis of improved planning accuracy.
Present data-driven recommendations.
Prepare detailed analytical report.
