Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Optimize product strategy and inventory flow with advanced SQL analysis on real e-commerce data.
Business Overview:
Product Performance and Inventory Management is a practical SQL-based guide designed for retail analysts, supply chain managers, and e-commerce professionals. It focuses on helping you evaluate which products perform best, how inventory moves, and how customer feedback aligns with sales outcomes. Using a PostgreSQL-compatible dataset with 14 interconnected tables, you'll write SQL queries to rank top products, assess stock turnover, measure category performance, and connect ratings with sales—essential for driving profitability and reducing inventory risk.
Product Highlights:
- A structured PDF featuring 4 advanced SQL use cases related to inventory and sales
- Real-world e-commerce scenarios including product ranking, review analysis, and category insights
- PostgreSQL-compatible dataset with product, inventory, and sales relationships
- Great for inventory analysts, retail planners, and business intelligence roles
- Perfect for portfolio enhancement and real-world analytics case prep
Learning Outcome:
By completing these use cases, you’ll gain skills in:
- Calculating top-performing products by revenue and volume
- Measuring inventory turnover and classifying stock movement
- Analyzing product category trends and sales distribution
- Evaluating how customer ratings and reviews influence purchasing behavior
This document includes SQL use cases designed to evaluate product performance and manage inventory efficiently.
- Covers use cases like top-selling products, slow movers, stockout risk, and inventory turnover.
- Helps build SQL skills in joins, aggregation, ranking, and conditional logic.
- Ideal for analysts and e-commerce teams looking to make data-driven inventory decisions.
- Supports optimization of product offerings, restocking strategies, and warehouse efficiency using real business data.
This dataset contains user registration and demographic information for an e-commerce platform.
- Includes customer IDs and timestamps useful for growth tracking, segmentation, and behavior analysis.
- Supports SQL use cases involving registration trends, customer segmentation, and CLV analysis.
This file holds detailed order history, including user IDs, order amounts, and timestamps.
- Used for tracking sales trends, calculating purchase frequency, and analyzing customer spending.
- Supports product performance metrics, segmentation, and revenue forecasting.
This dataset stores address information such as city, state, and country for each customer.
- Enables geographic segmentation, regional performance analysis, and delivery optimization.
- Supports mapping of customer distribution and location-based business insights.
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