Beware of potential over$-$optimism and gaming the system

$1$

Determines how many past periods of demand get the weight

Uses Linear Regression to forecast

Simplest forecasting tool and uses data from $"$n$"$ time periods

Puts the error in perspective $(\%$ terms$)$ with respect to the demand

$1.$

Moving Average

$2.$

a in Exponential Smoothing

$3.$

Associative$/$Causal Model

$4.$

Sales Force Composite

$5.$

MAPE