Store and Product Intelligence
Which stores and products are performing, and what inventory action follows?
A retail dashboard of store and product performance, with inventory actions attached. The owner's view switches between stores and products over the last 30 days; the sample product view shows revenue of S$620,800, gross profit of S$155,200 (25.0% margin), inventory at cost of S$820,800 and S$571,200 of aged excess.
- Store view and product view
- Revenue, profit and cost trends
- Aged excess inventory by product
- Which stores sell best, with inventory depth
- Duration: 4–6 weeks for an outcome-based POC
How the AI works. The intelligence separates demand from price in the trends, ranks stores and products, and attaches the inventory action, such as a transfer or a purchase, to what it finds.
Revenue, profit and cost trends sit beside sales volume, so demand is separated from price. The page then shows which stores sell the product best, with inventory depth alongside, so the next transfer or buy follows from the evidence.