Why should annual totals reconcile when applying monthly seasonality in forecasts?

• A. To ensure annual totals align with the forecast.
• B. To make the model look more complex.
• C. To hide forecasting errors.
• D. To avoid adjusting monthly data.

Answer: (A)

When you apply monthly seasonality, you’re distributing an annual forecast across the months according to expected patterns (peaks and troughs). To keep the forecast coherent, the sum of the 12 monthly forecasts must equal the overall annual forecast. If the monthly components aren’t aligned this way, the total you end up with over the year won’t match the annual target, which undermines budgeting, performance tracking, and reporting. Normalizing the seasonal factors so the months add up to the annual total preserves both the monthly pattern and the correct annual total. The other options miss the point: reconciliation isn’t about appearance, hiding errors, or avoiding monthly adjustments.