The smoothing constant, often denoted as alpha (α), is a parameter used in exponential smoothing techniques to control the weight given to the most recent observation versus past observations in time series forecasting. A higher smoothing constant places more emphasis on recent data, which can make the forecast more responsive to changes, while a lower value smooths out fluctuations by giving more weight to historical data.