The sales will improve from doing a large number of case studies. The case studies will be generated by reviewing the sales process.
The sales forecast will give data for the review. The sales forecast is the tool for the owner to measure the employee’s performance.
The demand for the product is easily measured by this method. Microsoft Excel is a powerful analysis tool. you must do a Sales Forecast in Excel for accurate results.
This is the most standard method for forecasting sales. The sales forecast with exponential smoothing is a systematic approach that results in accurate results.
This method deals with the time factor. The time element plays an important role in the sales forecast. In this method, we will unvariate the time data.
This method results in the time factor according to the recent trend. In single exponential smoothing the unvariation of time is based on a single parameter usually alpha relative to current trends.
The double exponential method unvariate the time based on the current trend but based on two-parameter. The parameter usually is alpha and beta. By this method, we can create various timeline events in the sales process.
Using Built-in Exponential Smoothing Tool
We can do a Sales Forecast in Excel automated way using excel. Excel uses a built-in tool to achieve this process. Before forecasting, you have created the chart based on the sales data.
You have laid out the data in two field Time and sales columns. Then you have selected the data menu and choose the data analysis option.
If the add-in option is not available, we have added the tool from the add-in menu for the excel add-in option you have select exponential smoothing option.
A dialog appears you have chosen input range based on risks in marketing from 0-0.5 or 0.6 -1. Then select the output range on your choice and the tool will produce the results in a graph.
Using standard formula
If the built-in tool does not work. You have to go for formulas for accurate prediction. The formula for analyzing the data by exponential smoothing is F=Aa+(1-a) B.
Where f is the forecasted sales, a is the smoothing constant. B is the forecasted sales from the previous year. The result is assigned to the F.
The automated methods will increase the forecast accurately. This sales forecast is the basis of the profit of the organization. By this method, we can measure the performance effectively.