Advanced SQL Logistics Project: Analyzing MySQL for Business InsightsAdvanced SQL Logistics Project: Analyzing MySQL for Business Insights
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Jyoti Dewangan
• May 20
SQL Logistics Operations Analysis | MySQL Business Insights Project
Advanced SQL-based logistics analysis project developed using MySQL Workbench to identify delivery delays, return patterns, operational inefficiencies, and customer behavior insights.
The project involved solving real-world business problems using: • Subqueries • CASE WHEN logic • CTEs (Common Table Expressions) • Window Functions • RANK(), DENSE_RANK() • LAG() & LEAD()
Key insights generated: ✔ Cities with highest return rates ✔ Delivery partners performing below average ✔ Customer and product ranking analysis ✔ Payment failures despite successful deliveries ✔ Delivery delay trend analysis
Tools Used: SQL | MySQL Workbench | Data Analysis | Business Intelligence
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