Demand forecasting predicts how much of each product customers will buy in the coming weeks. Simple methods average recent weeks; more advanced ones model trend and seasonality, or use pretrained time-series models.
A good forecast comes with a sense of its own uncertainty. A single number hides whether demand is steady or volatile; a range tells the buyer how much buffer to hold. Forecasts also need regular checking against what actually sold, so the buyer knows how far to trust them for each item.
APFoodz forecasts demand for the weeks ahead, with a likely range.