Abstract: The present application describes a method of utilizing a mathematical model to determine appropriate locations for redistribution or drop-off of items with last mile delivery services at a consolidation point representing an intermediate sortation or warehousing in a retail enterprise's supply chain downstream of retail locations. Items may be brought from a consolidation point, such as a warehouse downstream of retail locations, to such a redistribution location (herein referred to as a “Transload” point). A last-mile delivery carrier may pick up items from the Transload point and deliver them to customer delivery locations in the geographical area served by the Transload point. In examples, relocation of selected deliveries from the consolidation point to a Transload point reduces the per-mile cost for last mile deliveries. A model uses candidate locations to assess optimal locations for such a Transload facility, for example, based on delivery locations and associated costs.

Abstract: Methods and systems for simulating fulfillment of digital orders within a retail supply chain are disclosed. One method includes receiving a selection of a first operational parameter of a supply chain model. The supply chain simulation model is a transaction-level model representative of a digital order fulfillment process within a retail supply chain network. The selection of the first operational parameter includes a default value for the first operational parameter and an experimental value for the first operational parameter that is different from the default value. Simulations of a set of predicted digital orders within the retail supply chain network, using the supply chain simulation model as modified in accordance with the first operational parameter, are performed. Scenario evaluations including predicted metrics associated with each of a cost, a capacity, and a guest experience for the digital order fulfillment process may be output and displayed on a user interface.

Abstract: The present application describes a method and systems for enterprise supply chain optimization by accounting for time, cost, product demand, capacity constraints, and other factors. The described application relates to solving for the optimal flow of products through a supply chain including overseas vendors and a selected set of import gateways by using a custom-built model based on linear programming techniques. The model described in the present disclosure relates to a model that optimizes the overall cost or time (or a balance of both cost and time) to ship products from origin ports to domestically located distribution centers. By doing so, the model also optimally allocates how shipping containers are sent to domestic ports. The model subsequently outputs the optimal flow, cost, and time for each route in the network, as well as providing other relevant output.

Abstract: The present application describes a method of utilizing a mathematical model to determine appropriate locations for redistribution or drop-off of items with last mile delivery services at a consolidation point representing an intermediate sortation or warehousing in a retail enterprise's supply chain downstream of retail locations. Items may be brought from a consolidation point, such as a warehouse downstream of retail locations, to such a redistribution location (herein referred to as a “Transload” point). A last-mile delivery carrier may pick up items from the Transload point and deliver them to customer delivery locations in the geographical area served by the Transload point. In examples, relocation of selected deliveries from the consolidation point to a Transload point reduces the per-mile cost for last mile deliveries. A model uses candidate locations to assess optimal locations for such a Transload facility, for example, based on delivery locations and associated costs.

Abstract: Methods and systems for simulating fulfillment of digital orders within a retail supply chain are disclosed. One method includes receiving a selection of a first operational parameter of a supply chain model. The supply chain simulation model is a transaction-level model representative of a digital order fulfillment process within a retail supply chain network. The selection of the first operational parameter includes a default value for the first operational parameter and an experimental value for the first operational parameter that is different from the default value. Simulations of a set of predicted digital orders within the retail supply chain network, using the supply chain simulation model as modified in accordance with the first operational parameter, are performed. Scenario evaluations including predicted metrics associated with each of a cost, a capacity, and a guest experience for the digital order fulfillment process may be output and displayed on a user interface.