Forecast Accuracy

Forecast Accuracy

Forecast accuracy is a measure of how close a prediction or plan comes to what actually happens. It is usually expressed as a percentage that compares forecasted numbers to real outcomes over a set period. For example, a sales forecast with high accuracy means the forecasted sales were almost the same as the sales that actually occurred. Businesses use this measure to judge how well their planning tools, data, and assumptions are working. Better accuracy comes from good data, consistent methods, and understanding seasonal or one-time effects. Forecast accuracy matters because it drives many day-to-day decisions like how much stock to hold, how many people to schedule, or how much raw material to buy. When forecasts are accurate, companies can reduce wasted inventory, avoid stockouts, and keep costs down while meeting customer demand. When forecasts are poor, they can end up with too much inventory that ties up money or not enough goods that frustrate customers and lose sales. Improving forecast accuracy also helps teams plan budgets, allocate resources, and respond faster to changes in demand. Tracking this measure over time reveals whether changes in processes or tools are actually making planning better.