Accuracy Formula:
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Definition: Forecast accuracy measures how close your predictions are to actual demand values.
Purpose: It helps businesses evaluate the effectiveness of their forecasting models and inventory planning.
The calculator uses the formula:
Where:
Explanation: The formula calculates the percentage accuracy by comparing the forecast error relative to actual demand.
Details: Accurate demand forecasting helps optimize inventory levels, reduce costs, and improve customer satisfaction.
Tips: Enter your forecasted value and actual demand value. The actual demand must be greater than 0.
Q1: What does 100% accuracy mean?
A: 100% means your forecast exactly matched actual demand.
Q2: Can accuracy be negative?
A: Yes, if your forecast is more than double the actual demand, accuracy can go below 0%.
Q3: What's considered good accuracy?
A: Typically 80-95% is good, but this varies by industry.
Q4: How can I improve forecast accuracy?
A: Use better data, more sophisticated models, and regularly update forecasts.
Q5: Should I use this for all products?
A: High-value or high-volume items typically deserve more accurate forecasting.