Retail Forecast

In retail, accurate demand forecasting is critical for optimizing inventory, staff scheduling, and financial planning. This project provides a production-ready sales forecasting solution that can be immediately deployed in retail environments to:

• Predict future sales volumes across multiple stores and products
• Capture seasonal patterns and trends in customer purchasing behavior
• Support data-driven inventory management and purchasing decisions
• Provide actionable insights through visual forecasting dashboards

What It Does

RetailForecast enables retail businesses to generate accurate sales predictions for multiple stores and products simultaneously. The solution automatically handles data preprocessing, trains individual forecast models for each store-item combination, evaluates model performance, and produces interactive visualizations with uncertainty intervals.

How It Works

• Imports historical sales data from CSV files with store, item, date, and sales information
• Transforms raw data into Prophet-compatible format and creates separate time series
• Trains multiple Facebook Prophet models simultaneously, one for each store-item combination
• Captures seasonality and handles special events like holidays and promotions
• Evaluates models using MAPE, RMSE, and MAE metrics on test data
• Produces forecasts with uncertainty intervals and interactive HTML visualizations