Prerequisites for the object-centric Inventory Management Master Data Improvement app
Before you set up the object-centric version of the Inventory Management Master Data Improvement app, you’ll need to enable and configure the Inventory Management process, load the object-centric data model with your data, and validate the perspective_celonis_InventoryManagement perspective.
You’ll also need to set up the additional custom object types that the app requires to enable its use cases, and create a custom Inventory Management perspective with the additional objects. You’ll use the custom perspective with the app in place of the supplied perspective_celonis_InventoryManagement perspective. We’ll provide a step-by-step guide for you to set up the custom object types and the custom perspective. The app is listed in Marketplace as available on request, and we’ll provide the guide when you make the request.
For the steps to connect a source system to the OCPM Data Pool and create objects and events from your data, see Quickstart: Extract and transform your data into objects and events.
For instructions to work with perspectives, see Using objects and events for process mining.
If you need to get help with any of the app’s prerequisites or setup steps, Support tells you how.
If you’ve used the case-centric version of the Inventory Management Master Data Improvement app and created the optional dependency for it on the Inventory Management Starter Kit’s Knowledge Model, be aware that the object-centric version doesn’t have a dependency on the Starter Kit and there’s no advantage to creating one.
Machine Learning
Out of the box, the Inventory Management Master Data Improvement app makes recommendations for purchase lead times using the average lead time or the median lead time. To use recommendations made by Machine Learning, you’ll need to join our Early Adopter program and carry out additional implementation work. If you would like to use this add-on, talk to your Celonis point of contact or create a Service Desk ticket.