Forecast accuracy meets statistical reality
Every forecaster faces the same question: is my forecast off because I did something wrong, or because random arrival patterns make this level of accuracy impossible? The MIV (Minimum Interval Variance) is the mathematical floor — the best any forecast can achieve given the volume in each interval. This tool uploads your interval-level forecast and actual data, overlays MIV confidence bands, and shows you exactly which deviations are real errors versus statistical noise. Compare 15-minute vs 30-minute intervals to see how aggregation improves accuracy. Analyze AHT patterns to identify whether handle time or volume drives your variance. The goal isn't perfect forecasts — it's knowing the difference between what you can fix and what you can't.
Upload interval data to measure forecast accuracy against the statistical floor — separate real forecast errors from random noise