Maintaining material master data can be time-consuming due to large numbers of incoming requests for the creation of new materials. The Data Attribute Recommendation service can help automate and accelerate this process by predicting and suggesting material classes, enabling intelligent master data governance.
Manual, time-consuming order processing and procurement processes can lead to delays, inconsistent master data, missing attributes of a data record, and the inability to classify incoming product information.
The Data Attribute Recommendation service in SAP AI Business Services can help you classify records, select machine learning models, perform tasks related to the machine learning model that will be used to classify records, and enrich missing attributes of a data record.
By classifying entities such as products, stores, and users into multiple classes using free text, numbers, and categories as input, you can accelerate material master data maintenance, enrich missing attributes of a data record, and classify incoming product information.
The Discovery Center offers comprehensive information about the services needed to run this use case, as well as detailed technical information.
Learn more about the services you will need to run this use case and gather additional technical details and implementation strategies regarding this use case in the Discovery Center.
Customers can use the SAP Business Technology Platform pricing estimator to calculate the required investment for a particular project. Scale up or down on services as required. Consult your SAP Account Executive regarding your specific licensing needs.