CDMO Series Pharma Supply Chain Finance Using SAP, Power BI & Python

In this MizuFlow.ai Foundation of Finance episode, Sung Lee, CFA, CPA, CA, explains how SAP data structures can be leveraged to optimize supply chain operations and financial performance within pharmaceutical manufacturing organizations.

This module focuses on connecting inventory operations directly to:
• working capital
• liquidity
• EBITDA
• customer service levels
• manufacturing stability

The objective is to help finance and operational teams transform SAP inventory data into strategic forecasting and decision intelligence systems.

🧠 What This Video Covers
Understanding Inventory Categories in Manufacturing

The session begins by examining key inventory categories within pharmaceutical manufacturing environments:

• raw materials
• packaging materials
• work-in-process (WIP)
• finished goods

Each category impacts:
• working capital
• production continuity
• liquidity risk
• operational flexibility

SAP Material Master & Inventory Structures

The module explains how SAP structures inventory data through foundational records such as:

• Material Master
• material movement tables
• inventory balances
• valuation records
• production consumption data

These structures become the operational-financial backbone for manufacturing analytics.

Material Movements & Operational Risk

Tracking inventory movements helps organizations identify risks such as:

• stockouts
• excess inventory
• obsolescence
• delayed production
• inefficient purchasing patterns

Operational disruptions directly affect:
• runtime
• production schedules
• absorption
• EBITDA performance

Working Capital & Liquidity Planning

Inventory is one of the largest consumers of cash in manufacturing environments.

The framework demonstrates how inventory planning impacts:
• free cash flow
• borrowing requirements
• liquidity forecasting
• enterprise stability

Balancing customer service with cash preservation becomes a critical strategic function.

Power BI & Python Integration

The module integrates SAP inventory data with:

• Power BI dashboards
• Python forecasting workflows
• inventory simulations
• liquidity planning models

This enables organizations to create:
• dynamic inventory analytics
• working capital forecasting systems
• supply chain intelligence platforms

🚀 Why This Matters

In pharmaceutical manufacturing:

Inventory
→ Working Capital
→ Liquidity
→ Operational Stability
→ EBITDA

Long lead times and operational volatility make inventory management one of the most important financial disciplines inside manufacturing organizations.

Without strong inventory analytics, growth can create liquidity stress instead of value creation.

🎯 Key Takeaway

Inventory is not simply an operational metric.

It is:
• a liquidity driver
• a working capital driver
• a forecasting driver
• an enterprise value driver

The future of manufacturing finance combines:
SAP + Power BI + Python + Supply Chain Intelligence

to optimize both operations and cash flow simultaneously.
DISCLAIMER & LIABILITY NOTICE: The content in this video is for educational and informational purposes only. It does not constitute financial, accounting, tax, or legal advice.

No Professional Relationship: Watching this video or interacting in the comments does not create a CPA-Client or fiduciary relationship between you and Sung Lee.

Software & Tools: Any code, software, or tools mentioned (including https://www.google.com/search?q=Katchiflow.com) are provided "as-is" for demonstration and drafting purposes only. Outputs should not be relied upon for tax or statutory reporting without independent verification by a qualified professional.

Видео CDMO Series Pharma Supply Chain Finance Using SAP, Power BI & Python канала MizuFlow