Abstract: Order allocation techniques pertaining to stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques pertaining to stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques pertaining to stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques pertaining to stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques pertaining to stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques pertaining to stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques that reduce the number of stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. Ultimately, all items in the customer order are assigned a pod. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques that reduce the number of stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. Ultimately, all items in the customer order are assigned a pod. The collection of pods defines a container path through the distribution center.

Abstract: Order allocation techniques that reduce the number of stops that a container makes in the process of fulfilling a customer order is disclosed. In one embodiment, this is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. Ultimately, all items in the customer order are assigned a pod. The collection of pods defines a container path through a distribution center. In one embodiment, the techniques include retrieving an item identified. with the retrieval being dependent on an expiration time associated with the item. In another embodiment. the techniques include using information from a handheld computing device via a wireless interface regarding movement of items in the distribution center.

Abstract: An order allocation algorithm maximizes throughput by reducing the number of stops that a container makes in the process of fulfilling a customer order. This is accomplished by first identifying a pod that stocks the largest number of different items in a customer order. Then, a second pod is identified that stocks the largest number of remaining items in the customer order. Ultimately, all items in the customer order are assigned a pod. The collection of pods defines a container path through the distribution center.

Abstract: A warehouse management system that maximizes throughput and reduces carrying costs by reducing the number of stops that a container makes in the process of fulfilling a customer order. This is accomplished by allocating inventory to orders using the following series of considerations. First, the system selects a pod in order to maximize throughput. If there are multiple locations within the pod that stock the same inventory item, then the method chooses one of those locations based upon the expiration date. Finally, if multiple of these locations have units that expire within the same expiration period, the location with the fewest units is chosen.