What forecasting skills can a supply chain student develop?
A supply chain student can develop skills in demand forecasting, time-series and causal analysis, interpreting sales and market data, modelling uncertainty, and creating scenario-based forecasts. They may also learn to connect forecasts with inventory, purchasing, production, and transport decisions, use spreadsheets or analytics software, evaluate forecast accuracy, and communicate assumptions and recommendations to stakeholders.
Key points
- Forecasting skills can include statistical modelling, data preparation, trend and seasonality analysis, and scenario planning.
- Students may practise measuring forecast error and adjusting models when demand patterns or supply conditions change.
- Effective forecasting also involves communicating uncertainty and linking predictions to operational decisions.
Things to check
- The specific methods, software, datasets, and level of quantitative work depend on the university, programme, and individual modules.