This is an illustrative example scenario, based on common challenges we see in multi-site logistics environments. It is not a case study from a specific client, but reflects the types of findings a diagnostic typically produces.

Diagnosing Shipment Margin Leakage in a Multi-Site Logistics Group

When “Profitable” Is Not the Same as “Consistent”

The logistics group operated across three regional sites, each with its own fleet mix, client base, and operational leadership. At consolidated level, group financials showed acceptable margins. Performance was stable. There were no obvious warning signs.

Yet internally, friction was growing.

Site managers challenged head office profitability reports. Certain routes were described locally as “solid earners,” while group-level analysis showed them as marginal. Pricing decisions were increasingly debated rather than accepted. Finance spent more time reconciling numbers than analysing them.

The issue was not declining performance. It was declining confidence.

An independent diagnostic was initiated to determine whether margin leakage existed — and whether reported figures could support route-level pricing and capital allocation decisions.


The Surface Symptoms

Initial interviews revealed consistent themes:

  • “The group numbers don’t reflect operational reality.”
  • “Head office allocations distort site profitability.”
  • “Fuel spikes are not treated consistently.”
  • “Subcontractor costs are coded differently depending on urgency.”

None of these issues appeared individually material. Collectively, they suggested structural inconsistency.

The core question became:

Is margin genuinely under pressure, or is the definition of margin unstable?


What the Diagnostic Examined

The review focused on three areas:

  1. Cost definition and allocation
  2. Revenue-to-cost linkage
  3. Governance of route-level profitability reporting

No systems were changed. The objective was clarity, not redesign.


1. There Was No Single Definition of Shipment Cost

Each site used the term “shipment cost,” but the underlying composition differed materially.

Fuel and Driver Time

  • Site A allocated fuel at actual cost per route.
  • Site B applied an averaged fuel rate per kilometre.
  • Site C included fuel in a pooled fleet overhead allocation.

Driver time was similarly inconsistent:

  • Some sites included waiting time in route cost.
  • Others treated it as general labour overhead.

Vehicle Overhead

Depreciation and maintenance were treated differently across sites:

  • Allocated per vehicle at one site
  • Spread across all shipments proportionally at another
  • Excluded from route-level analysis at the third

Tolls and Subcontractors

Toll costs were included in shipment-level reporting at one site and absorbed into general expenses at the others.

Subcontractor rates were coded inconsistently:

  • As direct shipment cost in one location
  • As external services in another
  • As general transport expense in the third

There was no group-approved definition of what constituted shipment-level cost.

The consequence was predictable:

Routes were not being compared on a like-for-like basis.


2. Revenue and Cost Lived in Separate Systems

Revenue was recorded in the Transport Management System (TMS).
Costs were recorded in the ERP.

There was no shared shipment identifier.

Reconciliation occurred monthly in a spreadsheet maintained by a single individual. The file performed several critical functions:

  • Matching revenue records to cost estimates
  • Allocating overhead adjustments
  • Reconciling fuel and subcontractor variances
  • Producing route margin summaries

This spreadsheet was not formally governed:

  • No documented logic
  • No change tracking
  • No secondary review
  • No clear ownership beyond the individual maintaining it

Margin figures were therefore:

  • Directionally useful
  • Not reproducible independently
  • Dependent on manual judgement

This created key person risk and audit exposure.


3. Pricing Decisions Were Built on Fragile Foundations

Route-level pricing reviews relied on these margin reports.

Management believed they were making evidence-based decisions:

  • Renewing contracts
  • Adjusting rates
  • Accepting or declining volume

In reality:

  • Some routes were priced using partial cost allocation
  • Others included overhead not borne by that route
  • Subcontractor-heavy routes appeared more profitable at certain sites due to coding treatment

The diagnostic did not identify dramatic hidden losses.

Instead, it found something more subtle and more serious:

The organisation could not say with confidence which routes genuinely created economic value.


Why This Was a Governance Issue — Not a System Issue

The instinctive reaction was to question system capability.

However, the root causes were governance and definition failures:

  • No group-level cost taxonomy for logistics operations
  • No mandated shipment cost model
  • No agreed treatment of shared overhead
  • No executive-level approval of margin definitions

Systems reflected these ambiguities. They did not create them.

Until leadership agreed on:

  • What shipment margin meant
  • Which costs must be included
  • How overhead should be treated
  • Who had authority over definitions

No technology change would stabilise reporting.


What Changed After the Diagnostic

Before considering any structural or tooling changes, the group:

  1. Defined a single shipment cost framework approved at executive level
  2. Standardised treatment of fuel, tolls, subcontractors, and vehicle overhead
  3. Assigned ownership of route margin methodology to a named executive role
  4. Formalised reconciliation controls and documentation

The objective was not to achieve perfect precision.

It was to achieve defensible consistency.

Only once this was in place could route-level profitability become a reliable input into pricing and capital decisions.


The Broader Lesson

In multi-site logistics groups, margin leakage often hides behind inconsistency rather than error.

When:

  • Definitions differ,
  • Allocations vary,
  • Identifiers do not align,
  • And reconciliation depends on individuals,

Reported profitability becomes a negotiated outcome rather than a governed one.

In this case, the group was not materially loss-making.

But it was operating without a stable margin foundation.

Correcting that restored confidence in pricing, reduced internal friction, and allowed leadership to evaluate performance without debating the numbers themselves.

The difference was not technological.

It was definitional.