Course Overview
This 10-week program teaches you to analyze, optimize, and transform supply chain operations using data. Learn demand forecasting, inventory management, supplier analytics, and how AI is reshaping global supply chains. Hands-on with SAP, Python, and Power BI.
What You Will Learn
- Supply chain fundamentals — procurement, logistics, warehousing, distribution
- Demand forecasting — time series, ARIMA, machine learning models
- Inventory optimization — EOQ, safety stock, ABC analysis
- Logistics analytics — route optimization, last-mile delivery
- SAP SCM overview and key modules
- Power BI dashboards for supply chain KPIs
- AI and IoT in supply chain — predictive maintenance, smart warehousing
Who Is This For?
- Supply chain and logistics professionals
- Operations and procurement managers
- MBA students specializing in operations
Prerequisites
Basic knowledge of business operations. Excel proficiency helpful.
Course Highlights
- ⏱ Duration: 10 Weeks
- 📜 Supply Chain Analytics portfolio
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What's Included
Course Curriculum
Understand how modern supply chains work and the data that flows through them.
- Supply chain structure: suppliers, manufacturers, distributors
- Inventory types: raw materials, WIP, finished goods
- Demand planning basics and demand signals
- Supply chain KPIs: OTIF, fill rate, inventory turns
- ERP systems overview: SAP, Oracle, NetSuite
Apply statistical forecasting and inventory optimization techniques that reduce costs and stockouts.
- Moving average and exponential smoothing
- Seasonal decomposition (STL, Census X13)
- Safety stock calculation and reorder point
- ABC-XYZ inventory classification
- EOQ model and carrying cost analysis
Use Python and Pandas to clean, analyze, and model supply chain data at scale.
- Loading and cleaning supply chain datasets
- Supplier performance analysis
- Lead time distribution analysis
- Forecast accuracy metrics: MAE, MAPE, RMSE
- Python-based inventory simulation
Optimize transportation networks, routes, and last-mile delivery using data.
- Route optimization algorithms
- Freight cost benchmarking analysis
- Carrier performance scorecard
- Warehouse layout and slotting optimization
- Last-mile delivery analytics
Apply machine learning and generative AI to supply chain decision-making.
- ML-based demand forecasting with XGBoost
- Anomaly detection for quality control
- LLMs for supply chain disruption analysis
- Capstone: End-to-end supply chain dashboard with demand forecast
Skills You Will Gain
Career & Salary Outcomes
Average salaries after completing this training
What Our Students Say
Real feedback from real professionals who completed this program
“The Supply Chain Analytics Training course at Astrikcoders was exactly what I needed to upskill. The hands-on projects were incredible.”
“I was able to transition into a new role thanks to this Supply Chain Analytics Training program. The instructors are very knowledgeable.”
“Highly recommend the Supply Chain Analytics Training training. It covers everything from basics to advanced topics with real-world examples.”
Frequently Asked Questions
Everything you need to know before enrolling