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Component: SCM-APO-PPS-PPT
Component Name: Product Planning Table
Description: Chart in the product planning table, in which information is displayed relating to the sales scheduling agreement items for the selected products. Selected master and transaction data, assigned profiles as well as days' supply and alert information is displayed for each sales scheduling agreement item.
Key Concepts: A Sales Scheduling Agreement View (SSAV) is a component of the Product Planning Table (PPT) in SAP's Supply Chain Management (SCM) Advanced Planner and Optimizer (APO). It is used to define the delivery schedule of goods and services to customers. The SSAV allows customers to plan their orders in advance, ensuring that they receive the goods and services they need when they need them. How to use it: The SSAV can be used to create a delivery schedule for a customer. This schedule can be based on the customer's needs, such as the quantity of goods or services they require, the delivery date, and any other relevant information. Once the schedule is created, it can be used to monitor the progress of the order and ensure that it is delivered on time. Tips & Tricks: When creating a delivery schedule for a customer, it is important to consider any potential delays or changes in demand that may occur. This will help ensure that the customer receives their order on time and that any changes are accounted for. Additionally, it is important to keep track of any changes in the delivery schedule so that customers are aware of any delays or changes in their order. Related Information: The SSAV is part of SAP's SCM-APO-PPS-PPT product planning table. Other components of this product include the Product Planning Table (PPT), which is used to define product characteristics and pricing; the Demand Planning Table (DPT), which is used to forecast demand; and the Supply Network Planning Table (SNPT), which is used to plan supply networks. Additionally, SAP offers a range of other tools and services related to supply chain management, such as inventory management, demand planning, and supply chain analytics.