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A forecasting application that predicts future sales per product and store using time-series models and turns the forecast into stock and staffing suggestions.
Problem Statement
Retailers that plan by intuition end up with stockouts in busy periods and excess inventory in slow ones.
Objectives
Analyse trends, seasonality, and holiday effects
Implement ARIMA, Prophet, and regression forecasts
Measure forecast accuracy by product
Convert forecasts into reorder suggestions
Modules
Data Import
CSV and database import of historical sales with validation.
Forecast Engine
Multiple time-series models with automatic best-model selection.
Planning Module
Reorder quantity and safety stock calculations.
Reports
Forecast charts, accuracy metrics, and exportable plans.
Expected Output
A web tool that displays next-quarter sales forecasts per product with confidence ranges and recommended order quantities.
Future Scope
Promotion and price impact modelling, weather data integration, and multi-store optimisation.