Question: let's say that an organization uses a forecasting model to see how many staff it should hire in the next months. Unfortunately, the results were

let's say that an organization uses a forecasting model to see how many staff it should hire in the next months. Unfortunately, the results were not accurate and the company hires a lot of persons, while the funds are decreasing considerably since a lot of money are needed for salaries. What should the organization do?

Looking for an answer to the above question in terms of/related to error measures and how they help to optimize moving averages, weighted moving averages, and exponential smoothing methods.

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4. Similarity (representativeness).