Supply Chain Analytics Training

Live Online & Classroom Enterprise Training

Learn how to leverage data analytics to optimize supply chain operations, improve forecasting accuracy, and enhance decision-making across procurement, inventory, logistics, and distribution.

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What is Supply Chain Analytics Training about?

This course provides a comprehensive introduction to supply chain analytics, focusing on how data-driven techniques can improve operational efficiency and strategic planning. Participants will explore key concepts such as demand forecasting, inventory optimization, logistics analytics, and performance measurement using tools like Excel, Python, and visualization platforms. Real-world case studies and practical exercises will help learners apply analytics to solve supply chain challenges effectively.

What are the objectives of Supply Chain Analytics Training ?

Understand core concepts of supply chain analytics
Apply data-driven techniques for demand forecasting
Optimize inventory and logistics operations
Analyze supply chain performance metrics
Use analytics tools for decision-making

Who is Supply Chain Analytics Training for?

Supply chain and logistics professionals
Data analysts and business analysts
Operations managers
Procurement and inventory specialists
Graduates aspiring to enter supply chain roles

What are the prerequisites for Supply Chain Analytics Training?

Prerequisite:

Basic understanding of supply chain concepts
Familiarity with Excel or similar tools
Basic knowledge of statistics
Analytical thinking skills
No prior coding experience required (preferred but not mandatory)

Learning Path:

Introduction to Supply Chain Fundamentals
Data Analysis and Visualization Basics
Demand Forecasting Techniques
Inventory and Logistics Analytics
Advanced Supply Chain Optimization

Related Courses:

Data Analytics for Business
Advanced Excel for Analytics
Python for Data Analysis
Operations Management Fundamentals

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Supply Chain Management

Overview of Supply Chain

Key Components and Processes

Supply Chain Challenges and Trends

Module 2: Fundamentals of Analytics

Types of Analytics (Descriptive, Predictive, Prescriptive)

Data Collection and Cleaning

Introduction to Analytical Tools

Module 3: Demand Forecasting

Forecasting Methods (Qualitative & Quantitative)

Time Series Analysis

Forecast Accuracy Measurement

Module 4: Inventory Analytics

Inventory Management Techniques

EOQ, Safety Stock, Reorder Point

ABC Analysis

Module 5: Logistics and Transportation Analytics

Transportation Models

Route Optimization

Warehouse Analytics

Module 6: Supply Chain Performance Measurement

KPIs and Metrics (OTIF, Fill Rate, Lead Time)

Dashboard and Reporting

Benchmarking Techniques

Module 7: Advanced Analytics in Supply Chain

Predictive Analytics and Machine Learning

Risk Management and Scenario Planning

Network Design Optimization

Module 8: Tools and Case Studies

Excel for Supply Chain Analytics

Introduction to Python (Pandas, NumPy basics)

Real-world Case Studies and Projects

Who is the instructor for this training?

The trainer for this Supply Chain Analytics Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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