Unlocking Real Business Value with SAP BTP AI Services: Top 5 Use Cases You Can Deploy Today

SAP BTP is more than just a development platform—it's your gateway to real AI-powered automation without building ML models from scratch. Many SAP customers are already tapping into SAP’s managed AI services to simplify processes, reduce manual effort, and enhance data accuracy.

In this blog, let’s explore three powerful SAP AI services and their top 5 practical use cases you can implement today in your business workflows:

1. Document Information Extraction

2. Business Entity Recognition

3. Data Attribute Recommendation

Let’s dive into how they solve real problems for companies running on SAP.

1. Document Information Extraction (DOX)

What It Does:

This service reads unstructured documents (PDFs, images, scans), identifies key fields like invoice number, PO number, totals, line items, and returns structured data. It works out of the box for:

• Invoices

• Purchase Orders

• Delivery Notes

• Payment Advices

Use Case #1: Touchless Invoice Processing in Accounts Payable

Problem: Your AP team spends hours reading vendor invoices and entering them into SAP S/4HANA manually.

Solution: With DOX, scanned invoices are automatically read, validated, and pushed into your ERP—fully touchless.

Value: Reduces processing time from 10 minutes to 30 seconds. Cuts manual errors.

Use Case #2: Automate PO Matching from Email Attachments

Problem: Vendors send purchase order confirmations or delivery notes as PDFs via email.

Solution: Integrate DOX with your email listener (via SAP Integration Suite) to extract data and match it automatically in the backend.

Value: Ensures real-time updates to purchasing documents with minimal manual effort.

2. Business Entity Recognition (BER)

What It Does:

BER scans free-form text (emails, support tickets, comments, notes) and identifies entities like customer names, materials, product IDs, part numbers, and locations.

Use Case #3: Auto-Triage IT or Service Support Tickets

Problem: Your IT/helpdesk team gets 500+ emails a day, and agents manually decide ticket categories and urgency.

Solution: Use BER to extract keywords (e.g., product codes, location, issue type) from incoming text and auto-route them.

Value: Saves 4–5 hours/day per agent. Reduces first response times.

Bonus: This can be combined with Service Ticket Intelligence for full automation.

3. Data Attribute Recommendation (DAR)

What It Does:

DAR uses machine learning to predict missing master data fields—such as Material Group, Product Category, or Plant—from partially filled records.

Use Case #4: Fix Incomplete or Dirty Product Master Data

Problem: Users forget to fill mandatory fields like Material Group, Industry Sector, or Product Hierarchy during material creation.

Solution: DAR predicts and auto-fills these attributes based on historical records.

Value: Cuts master data rework by 60%. Makes downstream reporting more reliable.

Use Case #5: Improve Accuracy in Vendor or Material Replication

Problem: When replicating materials/vendors across company codes or plants, inconsistencies creep in.

Solution: DAR ensures consistent attribute assignment during data replication in S/4HANA or MDG.

Value: Reduces master data mismatches and integration failures across systems.

How Easy Is It to Integrate These AI Services?

All these services are managed by SAP, and are available as REST APIs. Here’s what a typical integration looks like:

1. Subscribe to the service on SAP BTP

2. Generate service keys with OAuth2 credentials

3. Call the service using CAPM (Node.js/Java), SAP Integration Suite, or SAP Build

4. Get structured results and embed them in your logic/UI

You don’t need data scientists. It’s all plug-and-play.

Final Thoughts: This Is Practical AI

What makes these services powerful isn’t that they’re “AI”—it’s that they solve real problems that every SAP customer faces daily.

Whether you're in procurement, finance, support, or master data management, you can automate painful manual steps today. And because it's all SAP-native, it works seamlessly with your S/4HANA, SuccessFactors, or custom BTP apps.

If you're looking for a starting point into SAP AI, these 3 services are the best way to start adding smart automation to your existing processes—fast.