FIRSTVAL

09Transport & Logistics

Every mile, priced against the promise.

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

Discover → Model → Twin → Agents → Govern → Compound

The same six moves we run everywhere, expressed in the physics of this industry.

01

Discover

Where does the network lose money against the promise?

Cost-to-serve map by lane

02

Model

What drives lateness, empties and detention?

Causal network model

03

Twin

What happens if we redesign lanes or slots?

Network and fleet twin

04

Agents

Who replans and recovers in the moment?

Dispatch and exception agents

05

Govern

Are hours, safety and customs defensible?

Compliance control file

06

Compound

Does the lane still pay next season?

Outcome contract + lane monitor

Where the value is

Value pools and their drivers

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

Where value is already sitting in Transport & Logistics

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

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

ETA prediction and exception management

Predicts arrival honestly, detects the shipment that will miss, and triggers the recovery while there is still time to recover.

Moves
On-time-in-full rate
Twin
Logistics Twin
Capability
Predictive + agentic workflow

Yard, dock and slot scheduling

Sequences arrivals and dock assignment against labour availability, cutting detention charges and idle bays at the same time.

Moves
Detention cost per load
Twin
Logistics Twin
Capability
Scheduling optimisation

Freight document and customs processing

Extracts and validates bills of lading, invoices and customs declarations, and clears the routine ones without a keystroke.

Moves
Cost per shipment document
Twin
Process Twin
Capability
Document AI

Damage and claims assessment from images

Assesses damage from photographs at handover, settles the small claims immediately and escalates only the contested ones.

Moves
Claim settlement cycle time
Twin
Process Twin
Capability
Vision models

Outcome twins

Twins, levers, features and the agents that run them

Each twin owns a set of levers. Each feature moves one lever. Each agent executes inside a defined authority.

Network Twin

Simulate lanes, hubs and slot design before committing contracts.

Levers

Empty milesLoad factorLane costHub throughput

Features

  • Lane simulation
  • Slot design
  • Carrier mix optimisation

Multi-agent layer

  • Planning Agent

    Reoptimises the plan when demand or capacity moves.

Fleet & Asset Twin

Keep assets available where they earn, and maintain them before they fail.

Levers

AvailabilityMaintenance costFuel per mile

Features

  • Failure prediction
  • Maintenance scheduling
  • Driver-behaviour coaching

Multi-agent layer

  • Maintenance Agent

    Books the intervention into the cheapest window.

Exception Twin

Detect the shipment that will miss and recover it while recovery is still possible.

Levers

On-time-in-fullRecovery costPenalty exposure

Features

  • ETA prediction
  • Exception detection
  • Customer communication

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.

Trade Document Twin

Clear the paperwork without a keystroke where the data is clean.

Levers

Document touch rateCustoms hold rateRework

Features

  • Document extraction
  • Validation against tariff rules
  • Hold prediction

Multi-agent layer

  • Customs Agent

    Validates declarations and flags the ones that will be held.

Unit economics

ROI calculator — per feature, per unit

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 costCost per delivered order

5.0% — Fuel, hours, traffic and promise solved together.

$3.8m

annual value

Exception Twin

LeakagePenalty and failed-delivery leakage

22.0% — Recovery starts before the miss, not after.

$1.9m

annual value

Network Twin

Unit costDetention cost per load

3.0% — Arrivals sequenced against labour actually available.

$2.3m

annual value

Trade Document Twin

Unit costCost per shipment document

2.5% — Routine declarations clear untouched.

$1.9m

annual value

Exception Twin

Unit revenueRevenue 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

How this compounds from one unit to the enterprise

01

One lane / one hub

Prove cost-to-serve and OTIF on a bounded flow.

02

Region

Same twins, new lanes; carrier and customs rules parameterised.

03

Global network

Shared runtime, per-jurisdiction trade rules, one cost-per-order number.

Integrations

Domain platforms we connect

Vendor-agnostic by design. Connectors are added per engagement — no platform lock-in.

TMS / WMS

  • Blue Yonder
  • Manhattan
  • SAP TM
  • Oracle OTM

Telematics

  • Samsara
  • Geotab
  • Trimble
  • OEM fleet APIs

Data & cloud

  • Snowflake
  • Databricks
  • AWS
  • Azure

Trade & customs

  • Descartes
  • e-Customs gateways
  • Carrier EDI
  • GS1 networks

Regulations and standards

What we are held to in this industry

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

GS1EDIFACT / EDI 214ISO 28000ISO 27001NIST AI RMF

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