Calculate the forecasting process, until you get the forecasting results requested. Explain the function of demand forecasting in a company's logistics and supply chain system! Then determine the demand forecasting value for the next 12 months based on the following historical data using several quantitative methods such as linear regression, exponential smoothing and moving average!

Note: the moving average period is 3 months. Meanwhile, alpha for exponential smoothing is 0.5 + "1" the last digit of the student number.

For example: the last digit of your NIM is 9, so it becomes 0.59.

Note: the moving average period is 3 months. Meanwhile, alpha for exponential smoothing is 0.5 + "1" the last digit of the student number. For example: the last digit of your NIM is 9, so it becomes 0.59.

And my student number is 4

So count "4"

Answer in detail

Thank you.

\begin{tabular}{|c|c|} \hline The ...... month- & NumberofrequestsPTXYZconsumers \\ \hline 1 & 2230 \\ \hline 2 & 2346 \\ \hline 3 & 3453 \\ \hline 4 & 3345 \\ \hline 5 & 3476 \\ \hline 6 & 2238 \\ \hline 7 & 4567 \\ \hline 8 & 5514 \\ \hline 9 & 5563 \\ \hline 10 & 6612 \\ \hline 11 & 6532 \\ \hline 12 & 4536 \\ \hline 13 & 4563 \\ \hline 14 & 5567 \\ \hline 15 & 5589 \\ \hline \end{tabular}