Retail Sales Forecasting using Facebook Prophet
Built a time-series forecasting model using Facebook Prophet to predict future retail sales based on historical transaction data. The system performs daily aggregation, trend modeling, seasonality analysis, and 30-day forward forecasting with uncertainty intervals.
Technical Highlights
- Data preprocessing & datetime normalization
- Daily sales aggregation (2823 records)
- Prophet model training (ds, y format)
- 30-day future forecast generation
- Trend & seasonality decomposition
- Confidence interval estimation