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Supply-Chain-Analysis
GitHubRepository

Supply-Chain-Analysis

This end-to-end analytics project evaluates logistics and operational workflows to identify bottlenecks, streamline inventory, and improve overall supply chain profitability using SQL, Python, and Power BI.

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  • Jupyter Notebook language
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Published
10 Jun 2026
Updated
3 Sept 2026
AI summary

This repository contains an end-to-end analytics project that uses SQL, Python, and Power BI to analyze supply chain operations. It aims to identify inefficiencies and provide recommendations for improving supply chain performance and profitability.

From the README

Supply-Chain-Analysis Supply Chain Analysis using SQL, Python, and Power BI Project Overview This project analyzes supply chain operations using SQL, Python, and Power BI to uncover insights related to revenue, supplier performance, inventory management, shipping costs, and product quality. The objective was to identify inefficiencies and provide actionable recommendations that improve supply chain performance and profitability. --- Business Problem Supply chain organizations generate large volumes of data related to suppliers, inventory, products, logistics, and quality control. Without proper analysis, businesses struggle to identify: • High-performing product categories • Supplier...

Skills

  • Jupyter Notebook

More work by Seelam Manoj Prabhakar