The question is asking you to create a forecast for the demand of the PVB product family for the next three quarters. This means that you need to estimate how many units of the PVB product family will be sold in each of the next three quarters.

To do this, you will need to analyze historical sales data for the PVB product family, as well as any relevant market trends or changes that may impact demand. You may also want to consider factors such as seasonality, competitor activity, and economic conditions.

Once you have gathered and analyzed this data, you can use forecasting techniques such as time series analysis, regression analysis, or exponential smoothing to create a demand forecast for the PVB product family.

After you have created your forecast, you should compare it to Wilkin’s demand forecast to see how they differ. This will help you identify any areas where your forecast may be more accurate or less accurate than Wilkin’s, and may also help you identify any factors that you may have overlooked in your analysis.

Overall, creating an accurate demand forecast is an important part of business forecasting, as it can help companies make informed decisions about production, inventory, and pricing. By using historical data and forecasting techniques, businesses can better understand customer demand and adjust their strategies accordingly.