Solution FLEET LTL / FTL linehaul network optimization Freight Logistics Engine for Efficient Transportation

Thousands of lanes, one weekly plan

FLEET optimizes the balance between weekly scheduled and ad-hoc trucks so that freight moves at the lowest cost within the cut-offs, dock limits and service levels that planners set. Each plan then runs through a shipment-by-shipment simulation of the network before any truck leaves.

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Optimized on a faithful simulation of your operations

Four capabilities that set FLEET apart from gravity models and spreadsheet planning.

01 — SCHEDULED AND AD-HOC CAPACITY

Fixed schedules, with ad-hoc capacity on top

FLEET designs one weekly schedule for the entire planning period, regular weeks and peaks alike, and covers the peaks with ad-hoc trucks instead of over-sizing the network for its busiest week. The schedule is robust to day-to-day variation, at the lowest total cost.

ScheduledAd-hoc
Dispatch calendar · Lyon → Frankfurt Scheduled Ad-hocWeek 1 · Mon
0
scheduled departures
0
ad-hoc trucks
0%
ad-hoc share
02 — HUB-AND-SPOKE WITH BYPASSES

Consolidate at hubs, bypass when it pays

Freight flows through your hubs by default. For origin–destination pairs with enough volume, FLEET schedules direct trucks that skip the hub: fewer handlings, shorter transit, lower cost.

Via hubDirect (bypass)
Hub bypass OFF
0%
departures bypassing a hub
2.3
handlings per shipment
34 h
average transit
100
cost index
03 — MAKE OR BUY

Outsource a lane when it is more economical

For every lane, FLEET compares the cost of running your own trucks with third-party carrier rates, and assigns it to whichever is cheaper, within your service constraints.

Own fleetThird-party carrier
Outsourcing OFF
Weekly linehaul cost · own fleet ■ carriers ■index 100
0
lanes evaluated
0
lanes outsourced
100
cost index
04 — FLEET SETTINGS

Set your priorities, see the trade-offs

Prioritize cost, load factor or service, or weight all three. FLEET re-optimizes the plan and shows what each choice means for your KPIs, before anything changes on the ground.

FLEET SETTINGS
Cost80
Load factor10
Service10
Cost index100
Load factor71%
Service failures3.5%
All KPIsvs current plan
Dashed outline = current plan.
Two ways to use FLEET

Run the network you have, or design the one you need

NETWORK OPERATION

The backbone of your current network: schedules and routing guide

  • Optimal balance between scheduled linehauls and ad-hoc capacity
  • Realistic service-level estimation and SLA optimization
  • Trapping decisions for better consolidation and load factors
  • Strategic FTL deployment for asset utilization
NETWORK CONFIGURATION

The right locations for your hubs and stations, tested on realistic simulations

  • Sensitivity analysis on hub location and capacity
  • Station location optimization based on demand patterns
  • Network resilience testing against operational scenarios
Actionable outputs

From your data to a plan operations can run

The data you already have goes in, every constraint you operate under is respected, and what comes out is ready for your planners: schedules, routing guide and the rules behind them.

Inputs
CSVShipment demandwith SLA requirements
CSVStations and hubslocations, capacities, cut-offs
RULEConnection rulesallowed hubs and bypass options
RATECost ratesinternal and outsourced
OPTCurrent scheduleoptional baseline
FLEET
0 constraints satisfied
Outputs

Weekly schedule by lane, day and time

Chicago → DallasMTWTFSS22:00
Paris → MilanMTWTFSS21:30
Atlanta → NewarkMTWTFSS23:15

Routing guide hub or bypass

Rennes → Munichvia PAR
Antwerp → Baselbypass
Seattle → Phoenixvia SAC · ONT

Consolidation trapping rules

Hold Denver → Kansas City freight until 21:00 and ship in one trailer: +9 pts load factor

Ad-hoc coverage triggers

Lille → Paris > 18 palletsad-hoc
Peak weeks, Houston → Atlanta+1 trailer

KPI report vs current plan

Cost87.6−12.4%
Load factor83%+8 pts
On time98.1%
In-network96%

See FLEET on your network

Share a few months of shipment history; we will walk you through the optimized plan and its KPIs.

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