A goods logistics system is provided. The system can include: a master computer, and at least one input unit. The input units can generate a trigger signal and transmit the trigger signal to the master computer. The master computer can generate, change, or delete a transport task to be carried out in a transport region by driverless industrial trucks operating based on the trigger signal with the application of a stored transport task definition and to transmit a transport task signal linked to this transport task to the industrial truck. The transport task signal prompts the industrial truck to perform the transport task. The master computer can change a status loading aid stations assigned to the input units based on the trigger signal with the application of a stored status change definition. The transport task definition and the status change definition are changeable.

Disclosed are various embodiments for product blending optimization. In one embodiment, inventory data is received that represents a plurality of product layers stored in a plurality of storage units. The inventory data indicates a product quantity for each of the product layers and a set of characteristics for each of the product layers. Order data is received that represents a plurality of orders for a blended product. Each of the orders specifies a respective set of target characteristics for the blended product and a respective quantity. Based on the inventory data and the order data, an optimal sequence of the plurality of orders for fulfillment is automatically generated, along with an optimal sequence for dispensing product from the storage units for the blended product of each respective order.