This tutorial gives you an overview and talks about the fundamentals of SAP SD.
SAP SD ( Sales and Distribution ) is one the largest functional Module in SAP. It handles all the processes from an Order to delivery. The main operations these module handles are Customer Sales Orders processing, pricing, Picking, Packing, Shipping, billing and risk management, etc.
Different customers can assume different roles in a business transaction. The customer who places the order doesn’t necessarily have to be the same customer who receives the goods, or who is responsible for paying the invoice. Assigning partner roles in SAP Sales and Distribution (SD) determines the functions of particular partners in the sales process. We will examine the key configuration techniques involved in setting up partner functions and determinations.
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The pricing procedure is associated with the sales document and provides the different components needed to come to final agreements with customers on the price they will pay for the goods or service. Prices are stored as data within condition records. The values for conditions could be for base price, surcharge, and discount. These are defined by condition types, which determine the category and describes how the condition is used.
Condition maintenance has two maintenance interfaces. You can mass maintain conditions based on characteristics like customers and material, which allows you to maintain condition records across all condition types and condition tables. The new condition maintenance function can be configured using the area menu. The standard area menu for condition maintenance is COND_AV. A user-specific area menu can be assigned by going to the menu path: Environment Assignment Area Menu.
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This article has been composed to create interest in our SAP SD training. The topics during SAP SD training are more detailed, in-depth, organized. However, there are many more articles composed that you could refer.
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.