Statistical Analysis Project 2 – Inventory Policy Impact Analysis

📌 Topics Covered

• Inventory data analysis using Python
• Stock level, reorder point, and inventory movement analysis
• Descriptive statistics for inventory performance
• Comparison of different inventory policies
• Impact analysis on cost, stock outs, and availability

📝 Project Summary

In this project, students will analyze how inventory policies affect business performance. Using Python and basic statistical methods, they will study stock levels, product availability, reorder patterns, and possible stockout situations. The goal is to understand how the right inventory policy can reduce cost, improve product availability, and support better operational decisions.

✅ What You Will Learn

• Analyze inventory performance using Python
• Compare different stock management policies
• Identify stock out risks and overstocking problems
• Use statistical summaries to evaluate inventory decisions
• Build simple insights for better inventory planning and control

Note to Students –

Live Classes will held on Google Meet.
Mentor will provide files, dataset in the Google Classroom.
Class video will be provided on Google Classroom.

Click “Mark as Complete” button.

Good Luck.