Inventory Management Planning Parameter Optimization app (object-centric) version 2.0 (2024-06-04)

We’ve renamed the object-centric Inventory Management Master Data Improvement app to the Inventory Management Planning Parameter Optimization app, and refactored the app’s Knowledge Model to revise the KPI IDs and records. The new version 2.0 is compatible with the Knowledge Models for the Material Allocation app and the Supply Chain Network Visibility app. The case-centric version of the app keeps the old name.

The Inventory Management Planning Parameter Optimization app enables planners to identify materials with overstated or understated lead times, safety stock, or reorder points based on their consumption and replenishment patterns. The app provides recommendations and action flows to enable material planners and supply chain analysts to easily correct parameters in the source system. With this version of the app, we’ve added intelligent lead time parameter recommendations based on Machine Learning. Machine Learning assists you to remove bias from parameter recommendations, and returns a lead time closer to what your supplier is capable of, instead of being biased by occurrences such as purchase orders placed either at short notice or too much in advance.

If you already have the Inventory Management Planning Parameter Optimization app installed, when you update to version 2.0 from version 1.5 or earlier, you’ll need to reapply any customizations you made to the KPIs in the Knowledge Model. Updating the object-centric Inventory Management Planning Parameter Optimization app has details of the changes we made, and instructions to upgrade your app. You can do this whenever you’re ready.