Logistics optimization platform
Plan smarter. Dispatch with confidence.
Freight Command Optimizer helps logistics and industrial operators optimize dispatch, routing, shipment selection, and resource allocation—using proven classical optimization today and IonQ-powered quantum experiments for next-generation planning.
Minutes
Planning cycle time
Replace manual spreadsheets with solver-backed recommendations
Multi-tenant
Enterprise-ready
Isolated workspaces for operators, brokers, and industrial teams
Benchmarked
Quantum workflows
Experimental runs compared against classical baselines
Capabilities
Optimization built for real operations
From daily dispatch to strategic capacity planning, Freight Command Optimizer focuses on decisions that move freight—not hype.
Dispatch optimization
Assign drivers, equipment, and loads with constraints that reflect real yard rules, hours-of-service, and customer priorities.
Routing & sequencing
Build feasible routes and stop sequences that minimize cost, miles, and service risk across your network.
Shipment selection
Choose the right shipments and consolidation options to maximize margin while meeting delivery commitments.
Resource allocation
Balance capacity across lanes, terminals, and shifts with solvers tuned for industrial-scale planning.
Classical solvers today
Production-ready optimization using proven mixed-integer and heuristic methods—no experimental dependencies required.
Quantum Lab (experimental)
Benchmark IonQ-powered assignment subproblems against classical baselines before broader rollout.
Quantum research partner
Freight Command is working with Hicks Group Quantum Lab to develop and benchmark the quantum experimentation layer behind Freight Command Optimizer. Initial work focuses on assignment and selection subproblems, benchmarked against classical optimization baselines.
Learn about Quantum Lab
Approach
Classical first. Quantum where it earns its place.
We ship production value with proven solvers. Quantum Lab runs experimental assignment and selection workflows on IonQ hardware, benchmarked against classical methods—starting with subproblems, not claims of guaranteed full-route superiority.
- 1
Model your constraints
Define fleets, lanes, service windows, and business rules.
- 2
Run classical optimization
Get actionable plans from solvers proven at scale.
- 3
Experiment in Quantum Lab
Compare quantum assignment runs against classical baselines with full transparency.
FAQ
Frequently asked questions
Straight answers about how Freight Command Optimizer fits into your planning workflow.
What does Freight Command Optimizer do?
Freight Command Optimizer is an optimization and decision-support layer for dispatch, routing, shipment selection, and resource allocation. It helps planners evaluate better options using proven classical solvers—and optional quantum experiments—without replacing your existing operational tools.
Is this replacing my dispatcher or TMS?
No. Freight Command does not replace dispatchers, planners, or an existing TMS. It augments your team with solver-backed recommendations and structured planning workflows that fit alongside the systems you already run.
What is the quantum part used for?
Quantum workflows in Quantum Lab are experimental. They target assignment and selection subproblems and are benchmarked against classical solvers so you can compare results before deciding whether to expand usage.
Does quantum optimization guarantee better results?
No. Quantum runs do not guarantee better outcomes than classical optimization on every problem or every run. Results depend on problem structure, size, and constraints—and are presented with side-by-side benchmarks for transparency.
Do I need IonQ or quantum hardware to use this?
No. Customers do not need quantum hardware. When you opt into Quantum Lab, compute runs are handled through the platform's managed experimentation layer—you review benchmarks, not infrastructure.
Can this work with CSV files before integrations?
Yes. The MVP supports manual data entry and CSV-style uploads so teams can start with existing exports from spreadsheets or operational systems before deeper TMS or API integrations are in place.
How are map, compute, and quantum costs handled?
Map lookups, compute usage, and quantum experiment runs are metered separately from base platform fees. Approval controls let you gate premium usage so variable costs are passed through only when explicitly authorized.
Is SONAR included in the MVP?
FreightWaves SONAR is not included in the MVP. The platform is designed to support market data integrations later, but initial pilots focus on your operational data and optimization workflows.
Ready to optimize your operation?
Start with a pilot scoped to your dispatch or routing workflow. Usage-based quantum and map costs are billed separately with approval controls.