Industries
Demand Forecasting
Demand planning benefits from knowing why a forecast changes.
Demand Forecasting
Follow the record to the next decision
We discuss historical sales, availability and known events, then compare predictions with a simple baseline. Teams should be able to review assumptions before turning the forecast into a purchasing decision.
Workflows to examine
- AI-powered demand prediction
- Seasonal trend analysis
- SKU-level forecasting
- Automated purchase recommendations
- Forecast accuracy tracking
In practice
Demand Forecasting: a practical example
Compare an ordinary sales period with one affected by a promotion or a stockout. Decide how those events should be represented before evaluating a forecast. Review the result with the planner who will act on it and keep the assumptions beside the estimate.
An illustrative scenario to discuss when planning your project.