peer response to: Quantitative When introducing a new product, quantitative data may be hard to prepare and forecast. I would propose using a weighted moving average based off the similar-product technique using the cold breakfast data. "More commonly, the forecaster tries to identify a similar, older product whose penetration pattern should be similar to that of the new product, since overall markets can and do exhibit consistent patterns." (Chambers 1971). Using the weighted moving average during the initial stages of historical data, it would be easy to forecast fluctuations using current data once the new hot breakfast is launched. I would weight the most current data higher because that would be more accurate to predict future demand. Qualitative Using qualitative techniques, I would use a mix of market research and historical data from the current cold breakfast products. "In trying to forecast demand for a new product, an ideal situation would be one where an existing product or generic product could be used as a model." (Jacobs 2020). Utilizing information from both historical data and market research can be beneficial to give a baseline forecast while trying to predict the target market preferences and likes and dislikes with the current