Inventory and Supply Chain Analytics

Inventory and Supply Chain Analytics provides a comprehensive framework for understanding and optimizing inventory management and supply chain operations. Participants will engage in project-based learning, allowing them to apply analytical techniques to real-world scenarios. This course emphasizes the use of data analytics tools to drive efficiency and improve decision-making processes within logistics and retail environments. By the end of the program, learners will be equipped with the skills necessary to analyze supply chain data, forecast inventory needs, and implement effective inventory control strategies.
The curriculum is designed to facilitate interactive learning, encouraging participants to collaborate on projects that reflect current industry challenges. Each module builds on the previous one, culminating in a final project where learners will analyze a case study related to inventory and supply chain analytics. This hands-on approach not only enhances understanding but also prepares participants to present their findings for potential publication in Cademix Magazine, fostering professional growth and visibility in the field.
Fundamentals of Inventory Management
Key Performance Indicators (KPIs) in Supply Chain
Data Analytics Tools for Inventory Control
Demand Forecasting Techniques
Inventory Optimization Strategies
Warehouse Management Systems (WMS) Overview
Supply Chain Risk Management
Lean Inventory Practices
Case Studies in Supply Chain Analytics
Final Project: Analyzing a Real-World Supply Chain Scenario

Develop proficiency in analyzing and optimizing inventory and supply chain processes through practical applications of data analytics.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of supply chain concepts and familiarity with data analysis tools.