Combining demand forecasts with cost and utilisation models lets transport managers evaluate fleet mixes, shift patterns and depot consolidations from a financial and operational viewpoint.
Telematics enrich planners with utilisation, idle time and lateness metrics; aggregated indicators feed capacity modelling while raw telemetry stays with operational systems.
Yes — by modelling backhaul opportunities, consolidation thresholds and service constraints. Scenarios can show trade-offs between service levels and empty-mile reductions, and feed tactical instructions into TMS for execution.
Include constraint dimensions and policy rules in the transport model with compliance checks. Transport-specific rules (HOS, route restrictions, emissions caps) can be represented as hard or soft constraints and factored into cost and service trade-offs.
Cost per km/trip, cost per tonne or parcel, utilisation rate. Linking these metrics to financial forecasts helps identify unit economics levers and fleet optimisation opportunities to increase route profitability.
Model FX and fuel price scenarios and run sensitivity analyses to assess margin exposure. Scenario libraries for fuel spikes, surcharge pass-throughs and hedging strategies help commercial and finance teams plan mitigations.
Model asset classes, useful life and depreciation schedules, include IFRS/lease effects, and run scenario-based TCO and replacement-timing analyses to optimise capex, cashflow and residual-value outcomes.
Core demand, route lanes, fleet capacity, standard route/network profitability and reconciliation with TMS.
“The solution provides robust, reliable data to give our team confidence that production lines will keep running. We have all the information needed to make small adjustments to our inventory plan daily to deal with issues before they become risks. The amount of stock that we have on-premise at any one time is reduced, and we have better control over excess and obsolete stock.”
Inventory Planning Manager
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