Efficient inventory management is crucial for businesses. This article provides a brief guide on using PostgreSQL and DbVisualizer to handle and visualize inventory data.

SQL Query Examples for Managing Inventory

Some practical SQL queries to manage your inventory data include:

Compute Total Sales, to determine sales revenue for each product over the last 6 months.

SELECT "SKU_number", "PriceReg" * "ItemCount" AS "TotalSales"
FROM inventorydata
WHERE "SoldFlag" = 'True';

Find Unsold Items, identify items that weren’t sold in the last six months.

SELECT COUNT("SKU_number")
FROM inventorydata
WHERE "SoldFlag" = 'False';

Top 10 Products by Sales, retrieve the ten best-selling products.

SELECT "SKU_number", "PriceReg" * "ItemCount" AS "TotalSales"
FROM inventorydata
WHERE "SoldFlag" = 'True'
GROUP BY "SKU_number", "TotalSales"
ORDER BY "TotalSales" DESC
LIMIT 10;

FAQ

Why use PostgreSQL for inventory management?

PostgreSQL is reliable, scalable, and ideal for managing large data sets.

What is required to follow this guide?

You need PostgreSQL, DbVisualizer, and a relevant dataset.

How do I use charts in DbVisualizer?

Use the charting tool to convert SQL query results into visual formats.

Can I use different databases?

Yes, but PostgreSQL is recommended for its robust feature set.

Summary

PostgreSQL and DbVisualizer make inventory management more effective by allowing businesses to analyze and visualize data efficiently. For more detailed guidance, read the article Using PostgreSQL to Manage Business Inventory Data and Visualize It.