RETAIL SALES FORCASTING

Using historical sales data and store-specific features the Sales Forecasting System created in this project offers a precise dependable and user-friendly method for forecasting retail sales. For retail businesses to manage inventory plan sales and allocate resources effectively accurate sales forecasting is crucial. In order to produce future sales forecasts with a reasonable level of accuracy the system examines past data. RMSE and MAPE were used to assess forecast performance and the findings show that the system is appropriate for real-world application. By automating crucial procedures like data upload preprocessing forecasting and report generation the system minimizes human labor and expedites decision-making. It operates effectively across datasets of different sizes and can handle missing and invalid data without causing system crashes. The system is accessible to non-technical users due to its straightforward feature input and easy data upload process. It also produces expert reports for managerial analysis in PDF and Excel formats. All things considered the Sales Forecasting System is a useful decision-support tool that enhances operational effectiveness and facilitates better inventory management marketing tactics and resource use in retail enterprises.

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