How it works
Export sales, product, cost and inventory data from your point-of-sale or inventory system as CSV. StoreTurnAI checks the delimiter, columns, dates and numeric fields before anything is processed, and tells you exactly which rows need attention so a bad export never becomes a bad conclusion.
Your data is organized into retail measures — net sales, gross margin dollars and percent, inventory value, turnover, aging, shrink, markdowns and SKU rank — by store, department and period, with daily, weekly and monthly views.
Findings become a short prioritized list that names the category, store and reason, plus goal tracking so you can see whether last week’s decisions worked.
You upload CSV exports — StoreTurnAI does not connect to your point-of-sale system automatically, and we do not claim integrations that do not exist. That keeps you in control of what leaves your POS and when.
Uploads are validated first: delimiter and encoding detection, required column checks, date and number parsing, and duplicate detection so re-uploading an overlapping export does not double-count sales. Anything that fails validation is reported row by row with a downloadable sample template, and you can re-validate after fixing the file.
The reasoning behind each step is explained in the retail KPI guide.
Each customer has a separate workspace, with role-based access for owners, managers, and admins. Data is scoped to your workspace at the database level, not only in the interface, and it is never combined with another customer’s data.
Want to see the analysis before uploading anything? The self-guided Playground runs on sample data.
See the platform for yourself. No signup, appointment, or sales call required.
Prefer a guided walkthrough? Contact us.