Generative AI Use Cases in SAP Landscape (Focus on SAP BDC)

Why Generative AI in SAP?

Traditional analytics answers:

“What happened?”

Generative AI answers:

“Why did it happen?”
“What will happen next?”
“What should we do?”

SAP BDC provides the harmonized, business-context-rich data foundation needed for GenAI.

Real Enterprise Scenario

A global enterprise wants:

AI-generated financial summaries
Automated variance explanations
Conversational analytics
Intelligent forecasting

BDC acts as the trusted data backbone.

Key Generative AI Use Cases in SAP Landscape

🔹 1️⃣ AI-Generated Financial Narratives (CFO Use Case)

Data Source:

S/4HANA Universal Journal
Harmonized KPIs in BDC

Use Case:

Auto-generate monthly financial summary
Explain revenue drop by region
Highlight margin anomalies

Example Output:

“Revenue declined 5% in APAC due to reduced sales in product line X, while COGS increased 3% because of raw material cost inflation.”

👉 Powered by structured data + LLM layer.

🔹 2️⃣ Conversational Analytics

Users ask:

“Why is margin lower this quarter?”
“Show top 5 customers impacting revenue.”

BDC provides semantic clarity → AI understands business terms → response generated in business language.

🔹 3️⃣ Intelligent Forecasting + Scenario Simulation

Generative AI can:

Create revenue forecast narratives
Simulate “what-if” pricing impact
Generate scenario comparison summaries

Example:

“If pricing increases by 2%, projected margin improves by 1.3% in North America.”

🔹 4️⃣ Automated Root Cause Analysis

Instead of manual drill-down:

AI scans multiple dimensions
Identifies anomaly drivers
Generates explanation

BDC ensures:

Consistent KPIs
Clean master data
Trusted enterprise view

🔹 5️⃣ Data Product Documentation Automation

For Data Mesh environments:

Auto-generate data product documentation
Describe KPI definitions
Explain transformation logic

Improves governance.

🔹 6️⃣ Intelligent Planning (SAC + BDC)

With:

Historical data from BDC
Planning models in SAC

GenAI can:

Suggest budget adjustments
Recommend cost optimizations
Auto-generate planning commentary

Architecture View

S/4HANA / ECC / SF ↓ SAP Business Data Cloud (Harmonized Semantic Layer) ↓ AI / LLM Layer ↓ SAC / Chat Interface / APIs

Why BDC is Critical for GenAI

Without harmonized semantics:

AI gives inconsistent answers
KPI confusion happens
Trust is lost

BDC ensures:
✔ One revenue definition
✔ Standard dimensions
✔ Clean cross-domain joins
✔ Business context for AI

Interview-Ready 30-Second Answer

In the SAP landscape, Generative AI leverages harmonized enterprise data from SAP Business Data Cloud to generate financial narratives, automate root cause analysis, enable conversational analytics, and support intelligent forecasting. BDC provides the trusted semantic foundation that makes AI insights business-relevant and reliable.

You can also checkout ebooks for SAP BDC – Quick Revision – using the link :
Part 1 : https://topmate.io/vartika_gupta11/1954785

Part 2 : https://topmate.io/vartika_gupta11/1956232

Also can schedule a mock interview either by me or my team at topmate for SAP BDC – 35+ Minutes : https://topmate.io/vartika_gupta11/1962923

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