Data Attribute Recommendation
Perform classification and regression tasks with this machine learning-based service available on SAP Business Technology Platform.
SAP Business AI is making remarkable progress in our effort to redefine the way businesses run. More than 27,000 customers already rely on SAP Business AI to achieve unseen business outcomes and achieve real-world business results.
At Sapphire, SAP is announcing extensive new integrations of our natural language generative AI copilot Joule and unveiling a swathe of new Business AI capabilities throughout our comprehensive portfolio of business applications.
Read the announcements from Philipp Herzig, Chief AI Officer
SAP is pushing the boundaries of AI with the new SAP Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within SAP applications customers use daily.
At SAP, we view AI not as a standalone technology, but as an integrated part of our business applications that infuses intelligence natively into business processes.
Dive deeper into various aspects of SAP’s approach to generative AI and its technical underpinnings with this blog post, the first of a series with Dr. Philipp Herzig, Chief AI Officer.
First Steps
Data Attribute Recommendation is part of the SAP AI Services portfolio and available on SAP Business Technology Platform (SAP BTP).
It uses free text, numbers and categories as input to classify entities such as products, stores and users into multiple classes and also to predict the value of missing numerical attributes in your data records.
With Data Attribute Recommendation, companies can:
- Use classification and regression capabilities to speed up data management processes
- Reduce errors and manual efforts for completing business processes
- Increase data consistency and accuracy
Key Features
Data flexibility
Be flexible in uploading and storing data in separate datasets.
Model training metrics
Expose model training metrics after a successful training run.
Model templating
Pick one of multiple machine learning models that best suits your needs.
AutoML model template
Choose the best fitting machine learning pipeline for single label classification tasks.
Deployment flexibility
Deploy multiple models at the same time while having the flexibility to configure the inference response.
Deploy Data Attribute Recommendation Capabilities
Users can easily deploy Data Attribute Recommendation in several business scenarios and extend their own processes.
Classify data records
Classify entities such as products, stores and users into multiple classes, using categorical, numerical and textual inputs.
Implement this use case
Follow the tutorial
Perform a regression on the data to predict a numerical label
Upload a dataset to your Data Attribute Recommendation service instance to afterwards be able to train your machine learning model using the regression model template.
Follow the tutorial
Sales order completion
A business blueprint with dedicated preprocessing for autocompletion of sales orders. The underlying machine learning model can predict custom, defined incompletion log fields, provide custom metrics, and provide a training pipeline enabling the user to define which data should be used for training, testing, and validation to overcome issues with imbalanced data sets.
Start the tutorial
Available Integrations in SAP's Portfolio
Data Attribute Recommendation is natively integrated into several SAP solutions.
Intelligent recommendation of material groups for centrally managed demands in SAP S/4HANA Cloud
Central purchasers can proactively receive intelligent proposals for incorrectly assigned material groups within their centrally managed purchase requisitions.
Watch the demo
Read the blog post
Smart account determination in SAP Central Invoice Management
Automatically enrich G/L Account, Cost Center and WBS Element fields in draft invoices using the data learned during the training, and increase accuracy of financial reporting and reduce manual work.
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SAP Intelligent Product Recommendation
Cloud application that uses machine learning and rules to streamline the product selection and configuration process for complex configurable products. It recommends products and default configurations based upon the customer's specific needs. You can embed SAP Intelligent Product Recommendation in configure, price, quote (CPQ), or e-commerce business processes. It also supports single-level configurable products as well as integration to SAP S/4HANA as important sources of sales transactional data.
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By utilizing historical data and machine learning, the system is now able to provide recommendations for completing empty fields within an unfinished sales order, increasing sales productivity while reducing data management and operational costs.
Watch the demo
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