Generate sales history per product and store with trend, seasonality, promotions and stockouts, so forecasting models and planning dashboards have something real to work with.
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What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.
Each gets its own level, growth and seasonal shape.
Strict trend, seasonal, seasonal plus trend, noisy, or a random mix.
Promotions, price changes and stockouts that move the numbers the right way.
Series reference SKU and store tables, so you can join them like real data.
Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.
Check the tables, columns and rules the AI proposes, and adjust anything you like.
Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.
Yes. Hourly, daily, weekly, monthly, quarterly or yearly steps, following the real calendar.
Yes. Add rules for holiday months or weeks and the series reflect them.
Yes. The series have clear trend and seasonality plus noise, which is what forecasting tools need to be tested on.
Describe your tables or upload your schema. The free trial needs no credit card.
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