Intelligent Planning & Route Optimization
Routing built around your operation.
Nash plans routes shaped to your operation, then keeps re-evaluating them as constraints, capacity, and conditions change through the day. The platform configures around how your network operates and adapts continuously as orders, traffic, and exceptions move.
Route Optimization
Every constraint, planned together.
Vehicle capacity across multiple dimension combined with driver shifts and break rules along with capability gates determine which jobs each vehicle and driver can take.
Delivery Windows
Promises encoded as constraints.
Hard windows act as feasibility constraints. Soft windows are weighted and traded against cost and service-level objectives. Nash builds a feasibility model across them all.
Continuous Re-optimization
Plan once, replan continuously.
Re-optimization runs on event triggers (new orders, cancellations, traffic shifts, weather alerts, route exceptions), or on demand. Routes can lock at departure, or stay open through the day, with lock policy configured per region or per fleet.
static · planned 1× · adjusted 0× / live · planned 1× · adjusted 64×
Long-range planning
Simulate before you commit.
Territories can be drawn many ways. Scenario Modeling captures alternate options and replays them against the same demand to compare cost, on-time, utilization, and unassigned-stop deltas.
Territory Planning
manual + clusteredSimulations
replay against same demandOperations control
Constraints change without an engineering ticket.
Planners drag-and-drop stops, swap drivers, and add or remove orders directly on the route, with the cost and service impact shown in real time. Service times, vehicle profiles, capability rules, and cost coefficients are all editable by ops, not engineers.
Change history
Planning Transparency
The optimizer shows its work.
Every route shows the constraint set it satisfied, the trade-offs it made, and what each alternate would have cost. Plan-vs-actual deviations are flagged against historical baselines. Financial impact lands at the local-team level. Every observation feeds back into the next plan.
Cost decomposition · chosen
fixed$X distance$Y time$Z penalty$0Constraints satisfied
P&L impact
Integrated end to end
From planning to dispatch to driver
What the planner configures, the dispatcher dispatches and the driver app shows. Fleet, constraints, and assignments propagate without translation between layers. One platform; one system of record.
Intelligent Planning
Routing, windows, simulation, scenario modeling.
Intelligent Orchestration
Dispatch, assignment, exception handling, carrier mix.
Workforce & Fleet Management
Drivers, shifts, pay, own-fleet operations.