Demand planning · Forecast · Replenishment

AI demand planning and inventory optimization
for food & beverage businesses.

Carry the right inventory instead of guessing. SCIS combines a statistical forecast with an AI adjustment, computes safety stock and replenishment, and shows stock per location in real time — less tied-up capital, higher service levels.

Inventory from gut feel costs you twice.

Too little stock means service failures and lost sales; too much ties up capital in the warehouse and risks write-offs. Without a dependable forecast, every order is a bet — and month-end a surprise.

What SCIS does for demand planning

Planning as part of the operating system — connected directly to orders, inventory and purchasing, not an isolated spreadsheet forecast.

Hybrid demand forecast

Statistical baseline plus AI adjustment per item — seasonality, trend and outliers accounted for.

Traceable, not guessed

The AI invents no numbers: every forecast is traceable to its source.

Safety stock & replenishment

The right reorder quantity from forecast, lead time and service level — with a concrete suggestion.

Real-time stock per location

Inventory across plants and warehouses — from group to site to item.

Fewer stockouts and overstock

Carry the right inventory instead of guessing — tied-up capital is freed and service improves.

Efficiency radar

Continuously flags where capital is freed and cost taken out — each with the next concrete action.

The payoff

  • 20–40% fewer stockouts and less overstock — tied-up capital is freed.
  • Higher service levels, because the right inventory is planned ahead, not guessed.
  • Explainable forecasts instead of a black box — every number traceable to its source.
  • Concrete suggestions: which line to reorder, and when.

Targets are directional and validated against your own baseline in a pilot.

Frequently asked questions

What is demand planning?

Demand planning forecasts future demand per item and derives how much to stock or reorder, and when. The goal is the right inventory: neither stockouts that cause service failures nor overstock that ties up capital.

How does the AI forecast in SCIS work?

SCIS uses a hybrid forecast: a statistical baseline (seasonality, trend, history) plus an AI adjustment. The AI never invents numbers — every forecast is traceable to its source. So results stay explainable and dependable instead of a black box.

Does SCIS compute safety stock and replenishment?

Yes. From forecast, lead time and target service level, SCIS derives safety stock and reorder quantities per item and location — with concrete suggestions for which line to reorder and when.

Do I need a lot of historical data?

A base of order and sales history helps, but it is not a barrier to starting. Forecasts sharpen with every order, batch and sale — the system gets better the longer you run it.

Does the AI make decisions automatically?

No. SCIS proposes the next move and shows where capital is freed or a stockout looms — the decision stays with you. The AI sharpens judgment; it does not replace it.

Foresight, not gut feel.

In a short demo we show AI demand planning on your own items and inventory.