Agent StoreOperationsOcean Freight Optimization
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Container Utilization Agent

OperationsOcean Freight Optimization

Optimizes ocean container loading plans and consolidation across shipments to maximize container utilization and reduce per-unit freight cost.

4
Process steps
5
Integrations
3
Data inputs

Ocean freight container loading plans are often built with significant unused space because planners default to conservative, manually-built load plans rather than optimizing across multiple orders and SKUs simultaneously, driving up per-unit shipping cost and container count

Consolidation opportunities across orders bound for the same destination are frequently missed because different orders are booked independently rather than evaluated together for combined loading

When container utilization is low, businesses either pay for more containers than necessary or absorb longer transit times waiting to fill a container before shipping

This agent evaluates all shipment-ready orders together, builds optimized container load plans that maximize cube and weight utilization while respecting stacking and commodity compatibility constraints, and identifies consolidation opportunities across orders, reducing freight cost per unit shipped

The agent pulls all orders ready for ocean shipment within a configured booking window, along with each SKU's dimensions, weight, and stacking/commodity compatibility constraints. It runs a container loading optimization algorithm (3D bin-packing logic) to maximize cube and weight utilization per container, evaluating opportunities to consolidate multiple orders bound for the same destination port into shared containers. An LLM reviews product compatibility notes (e.g., hazmat separation requirements, temperature sensitivity) to enforce constraints the optimization model must respect, and generates a load plan diagram and packing instructions for the origin warehouse or 3PL to execute.

1

Aggregate Shipment-Ready Orders

  • Pull all orders ready for ocean shipment in the booking window
  • Gather SKU dimensions, weight, and compatibility data
  • Group orders by destination port and required ship date
  • Identify consolidation candidates across orders
Outcome: All shippable demand is aggregated and evaluated together rather than order-by-order.
2

Optimize Container Load Plans

  • Run 3D bin-packing optimization for cube/weight utilization
  • Apply stacking and commodity compatibility constraints
  • Determine optimal container count and mix (20ft/40ft/40HC)
  • Maximize consolidation across compatible orders
Outcome: Container plans achieve maximum utilization while respecting all loading constraints.
3

Generate Load Plans and Instructions

  • Produce visual load plan diagram per container
  • Generate packing instructions for warehouse/3PL execution
  • Assign orders to specific containers
  • Flag any orders unable to be consolidated (ship standalone)
Outcome: Warehouse teams receive clear, executable loading instructions for each container.
4

Track Utilization and Report Savings

  • Track actual utilization achieved versus plan
  • Calculate cost savings from consolidation and improved utilization
  • Identify recurring underutilization patterns by lane/SKU
  • Publish monthly container utilization and savings report
Outcome: Logistics leadership sees quantified freight savings and ongoing utilization performance.
TMS/Ocean Booking Platform
shipment and container booking data
ERP
order and SKU dimension/weight data
3D Load Planning/Optimization Engine
container packing logic
Warehouse Management System
packing instruction delivery
BI Dashboard
utilization and savings reporting