Route and transportation optimisation
Plans routes against traffic, weather, fuel, driver hours and service promise together, and replans when one of them moves.
- Moves
- Cost per delivered order
- Twin
- Logistics Twin
- Capability
- Optimisation
09 — Transport & Logistics
Network design, fleet economics and service promise modelled as one engine — where a late load, an empty leg and a detention charge all resolve to cost per delivered order.
North Star
Cost per delivered order at promised service
The value engine, end to end
The same six moves we run everywhere, expressed in the physics of this industry.
Where does the network lose money against the promise?
Cost-to-serve map by lane
What drives lateness, empties and detention?
Causal network model
What happens if we redesign lanes or slots?
Network and fleet twin
Who replans and recovers in the moment?
Dispatch and exception agents
Are hours, safety and customs defensible?
Compliance control file
Does the lane still pay next season?
Outcome contract + lane monitor
Where the value is
Before a twin is built, we agree where the money sits and what moves it.
Value pool
Linehaul and routing
Driver
Empty miles, load factor, route quality
Measured as
Cost per mile delivered
Value pool
Service promise
Driver
On-time-in-full and recovery speed
Measured as
Penalty and lost-customer value
Value pool
Facility throughput
Driver
Dock, yard and labour synchronisation
Measured as
Detention and idle cost
Value pool
Documentation
Driver
Customs and freight paperwork handling
Measured as
Cost per shipment document
Use cases
Each one is a number somebody already owns, a twin that models it, and an agent that moves it inside a defined authority. Filter by function.
5 use cases
Plans routes against traffic, weather, fuel, driver hours and service promise together, and replans when one of them moves.
Predicts arrival honestly, detects the shipment that will miss, and triggers the recovery while there is still time to recover.
Sequences arrivals and dock assignment against labour availability, cutting detention charges and idle bays at the same time.
Extracts and validates bills of lading, invoices and customs declarations, and clears the routine ones without a keystroke.
Assesses damage from photographs at handover, settles the small claims immediately and escalates only the contested ones.
Outcome twins
Each twin owns a set of levers. Each feature moves one lever. Each agent executes inside a defined authority.
Simulate lanes, hubs and slot design before committing contracts.
Levers
Features
Multi-agent layer
Planning Agent
Reoptimises the plan when demand or capacity moves.
Keep assets available where they earn, and maintain them before they fail.
Levers
Features
Multi-agent layer
Maintenance Agent
Books the intervention into the cheapest window.
Detect the shipment that will miss and recover it while recovery is still possible.
Levers
Features
Multi-agent layer
Exception Agent
Triggers the recovery and tells the customer before they ask.
Claims Agent
Assesses damage from handover images and settles the routine.
Clear the paperwork without a keystroke where the data is clean.
Levers
Features
Multi-agent layer
Customs Agent
Validates declarations and flags the ones that will be held.
Unit economics
Set your volume, switch features on or off, and move each impact to your own evidence. Everything is expressed per delivered order.
Orders delivered per year
6,500,000
Contribution per delivered order
$2.7
Per-order economics; substitute per-load or per-TEU for freight-forwarding engagements.
Annual program investment
$3.5m
Network Twin
Unit cost — Cost per delivered order
5.0% — Fuel, hours, traffic and promise solved together.
$3.8m
annual value
Exception Twin
Leakage — Penalty and failed-delivery leakage
22.0% — Recovery starts before the miss, not after.
$1.9m
annual value
Network Twin
Unit cost — Detention cost per load
3.0% — Arrivals sequenced against labour actually available.
$2.3m
annual value
Trade Document Twin
Unit cost — Cost per shipment document
2.5% — Routine declarations clear untouched.
$1.9m
annual value
Exception Twin
Unit revenue — Revenue per order
1.5% — Reliable promises can be priced as promises.
$1.4m
annual value
Value by feature
Annual value contributed by each active feature at current settings.
Value and ROI vs volume
How engineered value and ROI move as orders delivered per year change. The marker is your current setting.
Cumulative value vs investment
Where the curve crosses the investment line is payback.
Value mix by lever
Which lever the engineered value is actually coming from.
Baseline contribution
$17.5m
Engineered annual value
$11.3m
ROI on program
224%
Payback
3.7 months
Directional model. In an engagement every number here is replaced by your measured baseline, signed off by finance, and written into the outcome contract before any agent goes live.
Scale
Prove cost-to-serve and OTIF on a bounded flow.
Same twins, new lanes; carrier and customs rules parameterised.
Shared runtime, per-jurisdiction trade rules, one cost-per-order number.
Integrations
Vendor-agnostic by design. Connectors are added per engagement — no platform lock-in.
TMS / WMS
Telematics
Data & cloud
Trade & customs
Regulations and standards
Compliance is a design input, not a review gate. Every agent action is logged, attributable and reversible.
Driver hours and tachograph rules
No optimisation may propose a plan that breaches hours.
Customs and export controls
Declarations, restricted parties, tariff classification accuracy.
Dangerous goods (ADR / IATA)
Hard constraints encoded, never learned.
GDPR
Driver telematics and behavioural monitoring proportionality.
EU AI Act
Transparency for automated worker-affecting decisions.
Standards supported
Next industry
Professional & Business Services