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by KeenEthics
SKU.io Demand Forecast icon

SKU.io Demand Forecast

By SKU.io

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Overview

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. Add current stock and it plans how many units to buy for the coming weeks or a peak window such as Black Friday through December, and which SKUs to buy now. Results appear as a sortable table. These are statistical forecasts from past sales, not guarantees. Files are processed in memory for the one request and never stored. No account is needed.

Tools

forecast_demand

ChatGPT
Use this when a seller asks to forecast their sales or demand per product, how many units they will sell in the next weeks, months or season, or how much inventory to buy for Black Friday, Q4, Prime Day or another peak season. Do not use for a product with no sales history, or to set a reorder point from a supplier lead time. Needs sales history with SKU, date and quantity (a Shopify or Amazon orders export works); two years of history lets it learn seasonality, less falls back to trend or average. Current stock (on hand, optionally inbound) is optional; with it the tool also says how many units to buy and which SKUs to buy now. Returns per-SKU weekly-based forecasts for the horizon and an optional peak window, the method used for each SKU, and a buy plan. Statistical forecasts from past sales only, not guarantees. Read-only; stores nothing.

Capabilities

Interactive

Example Prompts

Click any prompt to copy it.

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