Time Series Forecasting for Business: Beyond the Moving Average

Real demand has trend, seasonality, holidays, and the occasional shock. A flat moving average smooths all of that away—and quietly misses the patterns that matter most.

• Decompose into trend, seasonality, and residual first.
• Start simple (exponential smoothing) before deep learning.
• Add known events: holidays, promotions, pay cycles.
• Always show a prediction interval, not just a point.

We backtest on held-out periods and track error in business terms—dollars or units—so a forecast earns trust before anyone plans around it.