Logistics & Supply Chain
Network-level analytics for freight operators that model fleet productivity, load factor, empty miles, and driver scheduling across regional and national transport networks.
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Industry overview
Transportation network analytics and optimisation platforms that model load factor, empty miles, driver utilisation, and network flow — helping operators improve asset productivity and reduce cost per tonne-kilometre.
At a glance
Transportation operators managing regional or national freight networks face a network-level optimisation problem: loads need to be matched to vehicles, vehicles need to be positioned for the next load, drivers need to be scheduled within hours-of-service rules, and empty repositioning miles need to be minimised. Solving this well at scale requires more than manual planning.
We build network flow optimisation models that match loads to available vehicles, minimise empty repositioning miles, and schedule drivers within compliance constraints. Load factor analytics identify underutilised capacity that can accept additional freight. Carrier rate benchmarking models assess whether owned fleet or spot market is the more cost-effective option for each lane. Multi-modal planning tools evaluate road, rail, and intermodal combinations for long-haul freight.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to logistics & supply chain clients.
Network flow optimisation for load-to-vehicle matching
Empty mile reduction through backhaul and repositioning optimisation
Driver scheduling within hours-of-service compliance rules
Load factor analytics and capacity utilisation reporting
Carrier rate benchmarking for owned fleet vs. market comparison
Multi-modal planning for road, rail, and intermodal freight
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