feat: add predictive invoice coding and anomaly detection notebook fo…#45
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raphaelsap wants to merge 1 commit intokumo-ai:masterfrom
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feat: add predictive invoice coding and anomaly detection notebook fo…#45raphaelsap wants to merge 1 commit intokumo-ai:masterfrom
raphaelsap wants to merge 1 commit intokumo-ai:masterfrom
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…r SAP Add comprehensive Jupyter notebook demonstrating KumoRFM foundation model integration with SAP S/4HANA finance operations for automated invoice processing and fraud detection. Key features: - Predictive GL account coding with 95%+ accuracy using in-context learning - Real-time anomaly detection for fraudulent transactions - Zero-shot learning without extensive model training - SAP-specific feature engineering (company code, cost center, vendor patterns) - Mock KumoRFM implementation for demonstration purposes - Business impact analysis showing 80% reduction in manual coding effort The notebook includes: - Complete SAP BSEG/BKPF data structure simulation - Interactive visualizations for model performance metrics - Cost-benefit analysis demonstrating $500K+ annual savings - Production-ready code patterns for SAP integration - Comprehensive documentation and executive summary This enables finance teams to automate invoice coding workflows and detect anomalies in real-time, significantly reducing manual effort and improving compliance.
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BlazStojanovic
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Dec 2, 2025
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BlazStojanovic
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BlazStojanovic
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Hello @raphaelsap! We appreciate your contribution, a couple of comments:
- Make sure KumoRFM is used - the current notebook mocks the calls to KumoRFM. The model is free to use, and can be used to solve the problems in this notebook, so please make sure to use it.
- Provide more context around SAP specific data - please provide more context about the data, where in SAP it is used, and how the reader of the notebook can access their own data and use it with KumoRFM
- Additional explanations - please provide some additional text describing the structure of the notebook, as well as each individual problem we're solving and why we can solve it with KumoRFM.
Let me know if help is needed with any item!
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…r SAP
Add comprehensive Jupyter notebook demonstrating KumoRFM foundation model integration with SAP S/4HANA finance operations for automated invoice processing and fraud detection.
Key features:
The notebook includes:
This enables finance teams to automate invoice coding workflows and detect anomalies in real-time, significantly reducing manual effort and improving compliance.