peer response to : Forecasting methods can be categorized into qualitative techniques, which rely on expert opinions and subjective data, and quantitative techniques, which use historical data and statistical analysis the most suitable method depends on the availability of data and the situation's complexity. The qualitative forecasting method relies on expert judgment, intuition, and subjective inputs rather than numerical data. An example of this is the Delphi method which dealerships use when predicting the future of autonomous vehicles based on expert opinions. Quantitative Forecasting methods use historical numerical data to predict future trends, an example of this is the time series analysis when retailers predict sales during holiday seasons based on the previous year's data, such as the 4th of July and Thanksgiving and Christmas sales. Casual forecasting methods mainly assume that the forecasted variables are influenced by one or more external variables and an example of this is the leading indicators like housing starts, I know when we had housing markets skyrocket back during 2020. Forecasting methods have their specific use cases, based on the data available and the nature of the forecast required. Forecasting in business allows your company to increase your plans and prepare for any changes