Building a GenAI-powered MRP Exception Analyzer with SAP AI Core

SAP AI Certified, the developer built a GenAI-powered MRP Exception Analyzer prototype. The tool generates a natural-language explanation for SAP MRP exception message codes, making it useful for both experienced and new planners. To build the prototype, the developer used prompt engineering, Python scripting, Streamlit for UI, CSV-based response caching, and OpenAI API integration. Moving the solution into the SAP ecosystem using SAP AI Core and Generative AI Hub offers advantages such as trusted model access, model flexibility, end-to-end AI lifecycle, and code reusability. The next iteration will incorporate domain-specific knowledge for more intelligent recommendations.

A SAP AI Certified developer has created a GenAI-powered MRP Exception Analyzer prototype, designed to generate natural-language explanations for SAP MRP exception message codes. This tool aims to help both experienced and new planners understand and resolve MRP issues more effectively.

The prototype, built using prompt engineering, Python scripting, Streamlit for UI, CSV-based response caching, and OpenAI API integration, offers a user-friendly interface where users can input any SAP MRP exception message code to receive a clear and actionable explanation. This makes the tool accessible and useful for a wide range of users.

Moving this solution into the SAP ecosystem using SAP AI Core and Generative AI Hub presents several advantages. These include trusted model access to large language models grounded in business and context data, model flexibility to choose the best fit for specific business use cases, end-to-end AI lifecycle support for development, deployment, and management within a secure enterprise framework, and code reusability, which allows existing Python logic to be ported into SAP AI Core pipelines without significant rework.

The next iteration of the tool is planned to incorporate domain-specific knowledge, providing more intelligent and context-aware recommendations tailored to specific industries or company practices.

The prototype can be accessed here: [https://sap-genai-mrp-assistant-drold6eyz49jew7ramuuqr.streamlit.app/](https://sap-genai-mrp-assistant-drold6eyz49jew7ramuuqr.streamlit.app/).

References:
[1] https://community.sap.com/t5/product-lifecycle-management-blog-posts-by-members/sap-ai-certified-amp-my-first-genai-prototype-mrp-exception-analyzer/ba-p/14151123