In the fast-paced world of ecommerce, precise inventory management is crucial. Historical data forms the backbone of this process, but outliers—unexpected dips and spikes—can distort forecasts. By scrubbing data and using methods like exponential smoothing and the 3-period weighted moving average, businesses can predict demand more accurately.