Foreko makes procurement easy.

Rather than one blanket forecast for the business, every product/channel combination gets its own model trained on that combination's sales history. Models retrain continuously as new sales data comes in, so yesterday's viral spike is already factored into tomorrow's forecast.

Layered on top of the base forecast, this learns your recurring demand curves (a taco kit spikes every Cinco de Mayo) and flags when actual sales deviate meaningfully from what was expected. Random week-to-week wobble does not need action. A real demand shift does. Foreko tells you which is which.

Combines on-hand inventory, in-transit orders, and the live forecast into a single number per SKU per location: how many days until you are out. This is the trigger that feeds everything downstream, including alerts, reorder timing, and prioritization queues for your team.

Limited-time items have no sales history, so the model leans on comparable past launches and channel analogs instead, with a manually adjustable launch curve. Deep planning means drilling into the location, channel, and week level instead of just an aggregate monthly number that hides what is actually happening.