Sales forecasting and purchasing for multi-store retail.
The same product is in surplus in one store and short in another. Buying for all three without looking at where each unit is is the most expensive way to fix it.
A day in this trade
Which part of StockAI applies
A sample morning
The same product in three stores of an imaginary retailer. A 12-day lead time and a 16-day reorder point in all three.
Sample data, invented to illustrate the rule: not from a customer and not a measured result. Cover is on-hand ÷ sales per day; the reorder point is the lead time plus the safety cushion, in days.
Centro runs out in 2.5 days; Norte has over two months. Before buying, StockAI proposes a transfer from Norte, which after lending still keeps at least 30 days of cover (120 units) and so can give up to 140. Sur is OK and does not lend: it would fall under 30 days.
Worth knowing
- StockAI is not a point of sale or an e-commerce system: it reads your sales by file, by database or through the API.
- A new promotion is not in the history: it is tested in the simulator, which is an estimate, not a guarantee.
- The quantity to transfer is a suggestion; you make the decision and the movement.
Put your own AI to work forecasting your sales. Today.
Three ways to start, depending on how much you want to commit right now. All three lead to the same product.
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Sales and contact: contacto@stockai.es. Phone: +506 7186 2820.
Sales forecasting made in Costa Rica, for companies across Latin America.