Delivery optimization based on time and location

Abstract

Methods, systems, and computer program products for logistics management are described. A root node in the tree may be established representing the headquarters, which includes the capacity of the corresponding delivery vehicle. If a path to one or more unassigned delivery points is feasible, the corresponding unassigned delivery points may be added as child nodes of the root node. If the next-level delivery point is unassigned and the path to the next-level delivery point is feasible, the next-level delivery point can be added as a 指数 Child nodes of nodes in . Can be used for unassigned delivery points and tree levels 指数 Repeat the adding step for each combination of nodes in .

Description

technical field [0001] The present disclosure relates generally to logistics. In an example embodiment, the disclosure relates to optimization of delivery tasks based on time and location. Background technique [0002] Package delivery companies often need to deliver items to customers during a specific time period. For example, some users may only be able to receive deliveries at home when they return from work. As for the supply chain of retail stores, some stores may only be able to receive supplies, such as new products, during certain periods of time. For example, a store may only be able to receive supplies when only a few customers are in the store, when it has enough inventory space available, and / or when employees can receive shipments. [0003] In common logistics practice, delivery vehicle schedules and routes may take into account the customer's location, but may ignore detailed timing considerations. Schedules and routes may be fixed for a certain period of ...

AI Technical Summary

Problems solved by technology

[0003] In common logistics practice, delivery vehicle schedules and routes may take into account the customer's location, but may ignore detailed timing considerations

Schedules and routes may be fixed for a certain period of time (such as weeks or months) and may not take into account changes in customer demand such as time constraints

For example, a fixed schedule may not accommodate customers who request different delivery times on different days

As a result, service quality and user loyalty may be reduced, and reduced efficiency may result in higher costs

For example, more vehicles and drivers may be required to complete a delivery if delivery optimization ignores detailed timing

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