Dead-Stock Predictor

Upload your sales history and the model predicts which items will sell nothing in the next 90 days, often while they are still selling a little. Add your stock file to see how much money is about to get stuck and what to do about it. Everything runs in your browser; your data never leaves this page.

1. Sales lines CSV Date, product, quantity. Two years is best, at least one.
2. Stock CSV (optional) Product, quantity on hand, unit cost.
Analysis date

Dates can be 2026-09-27, 27-09-2026, 27/09/2026 or 27-Sep-2026. Returns can be negative quantities.