Inputs
Required fields are sku, current_stock, lead_time_days, and either average_daily_sales or recent sales history.
CSV Inventory Reorder Calculator
Upload a CSV to rank SKUs by reorder urgency, calculate suggested quantities, and export a purchase review. Start with the built-in sample if you do not have a file ready.
Private by default: CSV data stays in your browser. No signup or store connection.
Upload CSV for multiple SKUs
Choose your inventory CSV
One row per SKU. You need stock, supplier lead time, and daily sales or recent sales history.
No file selected
Or paste rows from Excel or Google Sheets
Include the header row. Tab-separated spreadsheet rows and comma-separated CSV text are both supported.
No CSV ready?Run the built-in sample and see a complete result instantly.
Local processing: inventory values are not uploaded or sent to analytics.
- Download sample CSVUse the sample headers or replace the rows with your own SKUs.
- Upload your inventory CSVRun reorder point, safety stock, stockout risk, and MOQ calculations locally.
- Export reorder resultsDownload a result CSV with statuses, quantities, and per-SKU explanations.
Optional fields
product_name, lead_time_variability_days, desired_service_level, minimum_order_quantity, review_period_days, incoming_stock, unit_cost, selling_price, last_30/60/90_days_sales.
What you’ll get
- Reorder status for each SKU
- Safety stock and reorder point
- Suggested reorder quantity
- Per-SKU explanation and export CSV
Try one SKU manuallyUse this when you are not ready to prepare a CSV.
Formula notes
Formula
Reorder point = daily demand x lead time + safety stock. Suggested quantity fills lead time plus review_period_days, then rounds up to MOQ.
Fallback behavior
Demand uses average_daily_sales first, then cumulative 30/60/90-day sales. Variability falls back to 20% of daily demand when history is thin.
Limitations
The default review period is 30 days, and incoming stock is assumed to arrive within lead time. Review arrival dates, promotions, supplier capacity, cash limits, seasonality, and warehouse space before ordering.
FAQ
Is my CSV uploaded to a server?
No. CSV parsing and calculations run locally in your browser.
What columns are required?
You need sku, current_stock, lead_time_days, and either average_daily_sales or recent sales history.
Can I export results?
Yes. After upload, use Export result CSV to download the calculated table.