Master the art and science of supply chain management and analytics — from operations and logistics to forecasting and demand modeling — through real-world, data-driven lessons.

In today’s global economy, supply chains are the backbone of every successful business. Whether it’s manufacturing, retail, or e-commerce, understanding how products move, costs flow, and data drives decisions is key to competitive advantage.

This comprehensive Supply Chain Management & Analytics Masterclass is built to take you from fundamentals to advanced analytical techniques, step by step — combining practical theory, case studies, and Excel-based exercises.

You’ll not only understand how supply chains operate, but also how to optimize them using data analytics.

Section 1: Introduction to Supply Chain Management

What is a Supply Chain and why does it matter
Difference between Operations and Supply Chain
Global vs. Local Supply Chains
Supply Chain Goals: Cost, Speed & Service
Core Functions: Planning, Procurement, Logistics, and Coordination
Reverse Logistics, Returns & Repairs
Stakeholders: Vendors, 3PLs, and Distributors
Metrics & KPIs: Lead Time, Cycle Time, and Service Levels
Total Supply Chain Cost & Performance Optimization

Section 2: Introduction to Supply Chain Analytics

What is Supply Chain Analytics?
Benefits of using analytics in logistics & planning
Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
How analytics transforms inventory, demand, and delivery decisions

Section 3: Demand Management & Forecasting

What is Demand Management?
Understanding Supply & Demand Dynamics
Demand Curves and Elasticity
Factors and Causes of Demand Variability
Steps in the Demand Management Process

Section 4: Forecasting & Time Series Analysis

Introduction to Forecasting in Supply Chain
Steps in Forecasting Process
Types of Forecasting Techniques and Models
Understanding Time Series Data
Components of Time Series: Trend, Seasonality, Noise
Visualizing and Decomposing Time Series Data in Excel
Rolling Average and Weighted Moving Average Techniques
Measuring Forecast Accuracy: MAD, MAPE, SSE
Stationary vs. Non-Stationary Time Series

Real-World Learning by Doing

Throughout the course, you’ll apply concepts using:

Excel-based models and assignments
Practical business examples from retail, e-commerce, and manufacturing
Analytics-driven decision-making frameworks
Data visualization of supply chain performance

Who This Course Is For

This course is ideal for:

Students or professionals in business, operations, or logistics
Aspiring supply chain analysts or data professionals
Product managers and consultants wanting to deepen their SCM understanding
Entrepreneurs managing procurement, inventory, or fulfillment systems

No prior technical background is needed — just curiosity and a willingness to learn.

Tools & Techniques You’ll Master

Supply Chain Metrics (Cycle Time, Lead Time, Service Level)
Excel for Time Series Analysis
Forecast Accuracy Metrics (MAD, MAPE, SSE)
Demand Forecasting Models
Descriptive, Predictive, and Prescriptive Analytics

Manish Mohanty

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