Automatically predict UNSPSC hierarchy from spend data using FFN classification.

Name: SAP Spend Control Tower, Spend Categorization
Brand: SAP SE

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.

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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

Plans and pricing

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titleSAP Spend Control Tower, Spend Categorization

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Details:
- AI Units are not currently required to use this AI offering in the underlying Cloud Service. This is subject to change.

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