Abstract: Techniques for allocating resources and generating resource allocation instructions are described herein. A model can generate a historical error for resources of a facility based on a first set of predicted resource imbalances and historical data for resources imbalances of the facility for a first set of previous time periods. The model can receive a second predicted resource imbalance for the resources of the facility associated with a first future time period. The model can receive real-time signals for states of the resources of the facility associated with a present time period. The model can generate an adjusted resource prediction for the resources of the facility based at least in part on the historical error, the second predicted resource imbalance, and the real-time resource signals. The adjusted resource prediction can be associated with the first future time period.

Abstract: Systems and methods systems and methods for allocating inventory in a fulfillment network are disclosed. In some embodiments, a method may include identifying orders fulfilled by a fulfillment center, where each of the identified orders specifies one or more of a plurality of items. The method may also include determining, for each identified order, a probability that the identified order will occur in the future and calculating, for each identified order, a cost savings. Items may then be selected based, at least in part, upon the determined probability and cost savings of each identified order. Additionally or alternatively, a method may include, for a selected item, receiving a customer demand forecast, determining a bind factor, and calculating a target inventory for the selected item to be stored in the fulfillment center based, at least in part, upon the customer demand forecast and the bind factor.