Sample candle — fig
4 left · reorder at 10
Below reorder point

Stockroom / Retail
Reorder points flag low stock before shelves empty, and orders are tracked until they arrive.
Fictional sample data · 11–50 people
4 records · Sample workspace
Buying desk
1
Need reordering
1
On the way
4 left · reorder at 10
Below reorder point
38 left
Stock healthy
PO-221 placed
Purchase order placed
24 arrived
Delivery received
Illustrative shelf quantities · Orders are not sent to suppliers
The business problem
Stock is checked by walking the shelves and looking at a spreadsheet. Popular products sell out before someone spots the gap, while supplier orders are tracked in a separate inbox.
Why it matters. The owner loses time checking what is low and whether it has already been ordered. Customers can leave empty-handed even when the team could have reordered earlier.
A better starting point. A reorder board puts healthy stock, low items, outstanding orders and received deliveries in one place. Agreed thresholds do the routine checking without AI.
Example-picker brief used to shape this hand-built showcase.
“We're a retail business of 11–50 people, doing an independent shop. Our biggest headache is knowing what to reorder. At the moment it's handled with spreadsheets, emails and memory, so things get missed and time is wasted. We'd like a simple way to see what needs attention and keep everyone on the same page.”
This is a fixed sample, not a record of a live AI generation.
Behind the concept
Stock levels and reorder thresholds are simple, reliable calculations.
AI could suggest seasonal changes to reorder levels, reviewed by the owner before use.
Illustrative concept, not production software. Changes last only while this page is open. People confirm unusual cases; real processes, access, security and backups need validation before launch.
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