Why Do Some Bakeries Seem to Have the Right Amount of Bread Nearly Every Day?
Good forecasting looks like luck from the outside.
Customers often notice mistakes. They rarely notice accuracy. When a bakery has just enough bread most days, it can look effortless.
The hidden mechanism is continuous forecasting. Bakers repeatedly compare expected demand with actual demand and make small adjustments over time. Tiny corrections accumulate into surprisingly accurate production decisions.
Imagine a bakery noticing that rainy Tuesdays reduce customer traffic by ten percent while sunny Fridays increase demand. These observations become part of future planning.
A second-order effect develops as customers learn that the bakery is reliable. They visit more consistently, making demand even easier to forecast.
People often think forecasting predicts customer behavior. In reality, successful forecasting gradually shapes customer behavior into something easier to predict.
