Configuring stockout and markdown avoidance

As a Sterling Intelligent Promising Premium customer, you can benefit from business objectives such as stockouts avoidance and markdown avoidance. To enable IBM® Sterling Intelligent Promising AI and ML models for using stockouts and markdown avoidance, you must configure stockout and markdown avoidance with the help of data integration.

Before you begin

Familiarize yourself with the concepts of avoiding stockouts and avoiding markdown and the data integration process.

Avoiding stockouts: Avoiding stockouts is an optimization objective that analyzes the possibilities of potential stockouts at a node. For more information, see Optimization objective: Avoiding stockouts.

Avoiding markdown: Avoiding markdowns is an optimization objective that analyzes the possibilities of potential markdowns at a node. For more information, see Optimization objective: Avoiding markdowns.

Data integration process: Data integration is the process that is used to combine and harmonize data from multiple sources into a unified, coherent format that is used for analytical, operational, and decision-making purposes. For more information, see Integrating data.

About this task

To configure stockout and markdown avoidance, you upload data for the required data feed types.

Note: To enable the AI and ML models for markdown avoidance, you must upload data for all of the data types. However, to enable the AI and ML models for avoiding stockouts, you can upload all the data except the markdown data.

Procedure

Transfer T-log data to capture transactional sales history that helps in determining demand. For more information, see Transferring T-log data.
Transfer the markdown data that determines markdown avoidance cost. For more information, see Transferring markdown data.
Transfer the catalog item data that lists all the information that is relevant to an item. For more information, see Transferring catalog item data.
Transfer the availability data that computes inventory performance cost, which includes estimating key factors such as weeks of supply. For more information, see Transferring availability data.
Transfer the supply plan data that is used to determine the replenishment possibilities. For more information, see Transferring supply plan data.
Transfer the order line status data that computes the node capacity backlog for shipping cost optimization and node balancing optimization. For more information, see Transferring order line status data.