Causal modeling is typically the most useful method for identifying complex market conditions affecting product or service demand factors. This method examines the relationships between variables, allowing businesses to understand how different factors influence demand. It provides deeper insights into cause-and-effect relationships than methods like time series analysis or moving averages. Reference:
Advanced forecasting techniques in supply chain management.