AI demand forecasting
What the sales history suggests you will need, as a prompt rather than an instruction.
Buying decisions are usually made from memory and the last few weeks. A forecast is the same judgement made against the whole history instead.
How it works
- Sales history feeds a projection of likely demand per product.
- It reads alongside low-stock reporting, so the question becomes “how long will this last” rather than “how many are left”.
Treat it as a prompt
A forecast is a pattern in past sales. It does not know you are dropping the line, that a competitor has just relisted, or that last spring’s spike was one wholesale order that will not repeat.
Used to decide what to look at, it is genuinely useful. Used to place orders unsupervised, it will confidently buy deep into something that sold once.
What it does not do
It will not forecast a product with no history, which is exactly the case where you most want help — new lines are still a judgement call. It also does not model lead time or place purchase orders.
Stop reconciling stock by hand
One catalogue, six channels, one stock figure that stays right.