SAP AI Demo Series: 02 – Prediction of Delay in Delivery Creation and Processing for Sales Order Items
We are thrilled to continue our SAP AI Demo Series, designed to showcase the powerful capabilities and innovative solutions that SAP offers in the world of Artificial Intelligence and Machine Learning. This series provides valuable insights that deepen the understanding of AI-driven enhancements across supply chain operations in SAP S/4HANA Cloud.
In this demo, we delve into the Machine Learning feature of SAP S/4HANA Public Cloud, specifically the Prediction of Delay in Delivery Creation and Processing for Sales Order Items, included in Scope Item 2YJ. This functionality aids internal sales and fulfillment teams in identifying potential delays in delivery creation and processing due to factors like material availability, picking, packing, or transportation readiness.
By configuring and deploying the Intelligent Scenario Management app, users can train predictive models, namely, PRDTDDELIVCRTNDELAY (targeting Delay in Delivery Creation) and PRDTDDELIVPROCGDELAY (targeting Delay in Delivery Processing), using historical fulfillment data. These models analyze past patterns and performance issues to forecast delays and feed those insights into the Predicted Delivery Delay Fiori application.
Once the models are trained & activated, predictions are automatically generated based on historical data. Batch jobs are available to regularly re-train the models and improve the accuracy of prediction. Users can view real-time predictions directly in the Fiori app, helping them act early by adjusting schedules, reallocating resources, or addressing potential fulfillment risks before they impact delivery timelines.
Demo Process Flow:
Business Benefits:
- Helps internal sales reps proactively manage fulfillment risk for orders
- Enable sales teams to act early (e.g., adjust schedules, reallocate resources)
- Improve delivery creation reliability and increase customer satisfaction
- Detect potential fulfillment delays before shipping begins
- Reduce downstream impact on delivery timelines and operations
- Drive continuous improvement by retraining the model based on new data
Conclusion:
This is just the beginning, and we anticipate that SAP will introduce additional features in SAP AI to predict various end-to-end process delays, such as customer delivery, invoice payment etc….. PrimeS4, specializing in SAP Supply Chain implementations, stands as the leading and most experienced consulting firm. Our consultants are well-equipped to advise clients on the diverse applications of SAP AI use cases and are already collaborating with multiple companies globally. We foresee many companies adopting more AI features from SAP, and we aim to be involved in most of these projects.
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