Final answer:
The demand forecasting tools from the provided list include Trend-adjusted exponential smoothing, Weighted moving average, Moving average, and Medium to long-term forecasting (Linear trend analyses).
Step-by-step explanation:
Demand forecasting is crucial for effective business planning. The selected tools offer diverse methods to analyze historical data and make predictions for the future. Trend-adjusted exponential smoothing incorporates both trend and seasonality in data, providing a robust method for forecasting.
Weighted moving averages and moving averages are useful for smoothing fluctuations and identifying patterns in historical data. Medium to long-term forecasting using linear trend analyses involves analyzing trends over a more extended period, offering insights into the overall trajectory of demand.
Exponential quantification, long-term time series, short-term growth rate, and Venn analyses are not standard demand forecasting tools and may not be commonly used in traditional forecasting methods. The tools selected, when appropriately applied, can enhance the accuracy of demand forecasts and aid businesses in making informed decisions regarding production, inventory management, and resource allocation.