Abstract: In accordance with embodiments of the present disclosure, systems and methods for inventory replenishment utilize supply chain data comprising a demand mix, an inventory mix, and a composite product mix to generate a new composite product mix for at least one future period. The system geometrically discounts demand-inventory composite data. Thus, the older data carries less weight in determination of the new composite product mix percentage. Smoothing factors allow the discounting to be applied differently to demand and inventory data. The new composite product mix and an estimate of the total target replenishment quantity of a product family are used to estimate individual target replenishment quantities for each of a plurality of individual products in a product family. Replenishment quantities can be determined for an extended planning horizon. A server may provide the replenishment quantities to the user of a client computer over a computer network.

Abstract: In accordance with embodiments of the present disclosure, systems and methods for inventory replenishment utilize supply chain data comprising a demand mix, an inventory mix, and a composite product mix to generate a new composite product mix for at least one future period. The system geometrically discounts demand-inventory composite data. Thus, the older data carries less weight in determination of the new composite product mix percentage. Smoothing factors allow the discounting to be applied differently to demand and inventory data. The new composite product mix and an estimate of the total target replenishment quantity of a product family are used to estimate individual target replenishment quantities for each of a plurality of individual products in a product family. Replenishment quantities can be determined for an extended planning horizon. A server may provide the replenishment quantities to the user of a client computer over a computer network.