Demand PlanningHistorical Analysis

Historical Analysis

What actually happened, and how close the model was each month.

12-month actual
$97.1M
11%
12-month forecast
$95.5M
Forecast bias
-1.6%
Demand units
84,412

Actual vs forecast by month

Monthly detail

MonthActualForecastVarianceVariance %Demand units
Sep$7.3M$7.1M+$260K3.7%6,378
Oct$8.4M$7.8M+$548K7.0%7,301
Nov$8.3M$8.9M$-611K-6.9%7,194
Dec$9.6M$9.4M+$251K2.7%8,369
Jan$9.1M$9.2M$-114K-1.2%7,894
Feb$9.1M$8.7M+$419K4.8%7,956
Mar$7.5M$7.9M$-395K-5.0%6,563
Apr$8.0M$7.4M+$589K8.0%6,925
May$7.5M$7.4M+$106K1.4%6,509
Jun$6.9M$6.9M+$59K0.9%6,010
Jul$6.9M$7.2M$-383K-5.3%5,968
Aug$8.4M$7.6M+$808K10.6%7,345
What the history tells us
Demand growth has averaged 1.4% per month with a strong Q4 lift. The model under-forecast three of the last four months, mainly because unplanned shutdown orders are not captured by the statistical baseline — they now enter the model as an event feature.

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Past forecasts for accuracy and bias tracking.

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Expected columns: period, forecast, actual

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