$\backslash$table$[[($viontor$,\backslash$table$[[$nutuar saies umis $-$ rear$],[2022]]],[$January$,6055],[$February$,7250],[$March$,8862],[$April$,10250],[$May$,3500],[$June$,6780],[$July$,8725],[$August$,11500],[$September$,9525],[$October$,13250],[$November$,6780],[$December$,5530]]$

$1\mathrm{.}1$ Calculate the $2023$ forecast for Nogaya Trading using the exponential smoothing forecasting technique with a smoothing constant of $0\mathrm{.}3$ and forecast for January $2023$ es of $7025$ units.

$1\mathrm{.}2$ Calculate the MAD and MAPE value for the above.

$(5)$

$1\mathrm{.}3$ Explain the impact of forecasts on the supply chain of an organisation. $(7)$