1. Analyse the overall demand patterns presented in the data set and identify any underlying and/or constituent patterns. You may want to rearrange the dataset so as to make any long-term trends more visible in your plots, and identify any irregularities based on possible environmental cues (perhaps, based on personal experience). 2. Develop and justify a forecasting method that fulfils CCS's requirements. In addition to the accuracy of the forecasts what other factors you did you consider in selecting a suitable forecasting method? 3. Use the method proposed in question 2 above to forecast aggregate demand for the 12-month period ahead, starting from September 2023. 4. In addition to forecasting aggregate demand using the method identified above, how might the forecasts be improved? Examine other initiatives that you would consider in addressing the issues presented in the case. 5. Identify CCS' competitive priorities and differentiate them in terms of order winners and qualifiers. Considering these priorities, briefly explain how a better understanding of the nature of the demand for CCS's products can help make effective decisions, for example, in relation to capacity planning, inventory management and production scheduling