Container Assignments for Global Shipping Company
Aimpoint Digital used machine learning and a custom algorithm to optimize container shipping assignments for a global company.
The Challenge
Our client, a global shipping company, transports retail goods from East Asian factories to western stores. They aimed to automate and optimize the container assignment process, which previously took days to run and weeks to expand to a new customer.
Our Approach
Our solution involved two key components. Firstly, we trained a machine learning model to predict future shipment volumes based on past data which is crucial for proactive planning. Secondly, we developed a custom algorithm to assign orders to individual containers. This algorithm factored in container availability, shipment origins and destinations, expected arrival dates, and various constraints to optimize container shipment assignments.
Results
Optimizing assignments and maximizing shipping container efficiency means fewer costs.
Automating container assignments reduces time and resource usage.
An end-to-end robust workflow allows for efficient scenario planning.
Key Takeaways
Thanks to this project, the client now has an optimization heuristic for decision-making, giving them the flexibility and ease to add new customers as they scale their business.
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