Automatically predict UNSPSC hierarchy from spend data using FFN classification.
SAP Spend Control Tower equips procurement and finance teams with AI-powered spend insights by unifying data from multiple sources and refining supplier hierarchies with supervised machine learning. Automated classification and enrichment provide clarity on supplier relationships and purchasing patterns, with validation options via an intuitive feedback interface. Powered by SAP HANA, it categorizes invoices into purchasing hierarchies like UNSPSC and enriches supplier data with demographic insights. Customers can refine ML outputs, enhancing analytics and future cycles. Using Feedforward Neural Networks, it predicts hierarchy values based on invoice data, encouraging businesses to optimize input quality for the most accurate results.
Overview
Spend Control Tower Analytics
Provide aggregated analytical reporting through common supplier, location, and category hierarchies in SAP Spend Control Tower dashboards
Improved Data Refresh Accuracy
Enhance customer-specific model retraining for more accurate future data refresh predictions
Details
Solution type
AI Feature
