Store data where every total adds up.

Generate a complete store: customers, catalogue, orders, line items, payments, shipments and returns, with discounts, shipping and tax calculated correctly on every order.

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The example

A week of orders, down to the tax

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

Every total is subtotal − discount + shipping + tax, to the cent.
Tax is 8% of the discounted subtotal; shipping is free above the threshold and charged below it.
Channels, payment methods and statuses follow realistic proportions.
Order item counts match the order_items table, and returns reference delivered orders only.

Built for Retail & E-commerce teams

Money that adds up

Subtotals, discounts, shipping, tax and totals are calculated, not random.

Complete commerce schemas

Customers, products, orders, items, payments, shipments, returns and reviews.

Realistic behaviour

Repeat customers, basket sizes, seasonal peaks and return rates.

Reviews that fit

Optional AI-written reviews that match each product and rating.

How it works

From idea to dataset in three steps

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I use my own catalogue?

Yes. Describe your categories and price ranges, or upload your schema and add notes.

Can tax rates vary by region?

Yes. Add a rule per region and tax follows the shipping address.

Can I simulate Black Friday?

Yes. Add a seasonal peak or promotion window and order volumes follow it.