Forecasts and schedules based on your own data.
Purchasing and production planning often rely on intuition: "last year it sold well, so let's order something similar." The result swings between capital frozen in an overstocked warehouse and shortages of the best-rotating items.
The system analyzes the company's sales history β accounting for seasonality, trends and planned promotions β and suggests how much of what will be needed in the coming weeks. The forecast updates itself as new data comes in.
End of August: the system reminds that heater sales usually pick up in the third week of September and suggests ordering specific quantities from a supplier with a 3-week lead time. The stock arrives right at the start of the season.
Automating activities performed manually every day.
Reports and metrics generated automatically, no spreadsheets needed.
Connecting systems so data never has to be retyped by hand.