Tailor Collections Management to fit your Business needs with User Defined Fields
Being linked to the GP Sales module gives Collections Management a wide range of data to pull from and save on. From Salesperson, to Region, Credit Limit, to Class ID, you can organize and streamline your Collections Process using the powerful Build Query function.
Occasionally, you may come across the need to have even more. Perhaps your business is a specific business segment, and you have special needs to track on. Or maybe you have customers across a wide spectrum of different industries, and want to follow them by industry to see if certain market segments have a better Days Sales Outstanding than others.
Collections Management includes several built in User Defined fields to do just that. Without needing to know any coding or paying for expensive consulting, you can use the included User Defined fields to begin tracking on one of these metrics in as little as five minutes.
The User Defined fields are setup in Sales pane —> Setup —> Collection Setup. The very bottom of the Setup window shows all of the fields you can use:
Several different options are available, but you aren’t required to use any more or less than you need. Enter the name of the category that you want the field to appear as. For example, let’s say we want to track an Industry List, and a Not-For-Profit checkbox.
In “List 1”, type in Industry. Click on the Blue Expansion arrow. Enter in the industries you want to be selected. The list will automatically organize alphabetically A to Z.
Next, for Checkbox, enter Not-For-Profit. Our setup window user defined fields now look as follows:
The next step is to enter that information for your customers. Go to Sales pane —> Cards —> Collection Info. Enter the Customer ID and tab off of the field. We can now see the fields updated with the information we entered:
We can assign the Industry and mark the Not-For-Profit box, if applicable, and then click save.
Be sure to follow up next week with an article on how to use and extrapolate this data to put it to good use!
photo credit: PublicDomainPictures
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