
Demand forecast and buy plan
Upload a sales history CSV, such as a Shopify or Amazon orders export, and the Demand Forecast projects weekly demand per SKU. With two years of history it learns seasonality like a Q4 peak; with less it uses a damped trend or the average, and says which method each SKU used.
Example path
https://demand-forecast.sku.io/mcpDemand forecasting for e-commerce sellers, computed from the user's own sales history. The tool reads a CSV the user uploads (or rows already in the conversation), forecasts weekly demand per SKU (seasonal when two years of history exist), and optionally plans purchases against current stock, shown in a sortable table. Results are statistical forecasts, not certainties. Nothing is stored: files are read in memory for the one call. If a required column is missing, the error names the columns it found.
None in the store listings or on the server