EMS Logistics suite

How to scope an end-to-end transport and logistics transformation

Connect order, warehouse, transport, delivery and invoicing around the same events and responsibilities.

For: Supply chain, logistics, transport, operations and IT leaders
01 · Short answer

What to clarify before discussing a solution

The signal

Statuses diverge across systems, evidence arrives late and disputes consume more time than flow improvement.

The answer

Where should control sit so every stakeholder sees the same flow and handles the right exception?

The answer does not lie in an isolated feature: it is built by connecting rules, actors, data and evidence.
The expected outcome

A shared roadmap, sequenced by priority flows, with ownership, interfaces and KPIs clarified before deployment.

02 · Structural decisions

Four decisions to make before configuration

These decisions make the scope testable and prevent structural choices from being discovered during the project.

01

Define the authoritative event at each stage

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

02

Select representative pilot flows

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

03

Assign each exception to a role and deadline

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

04

Separate the common core from customer or site variants

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

03 · Scope

A readable end-to-end flow

Scope is not a list of modules. It is a chain of events, ownership and decisions.

1Service promise
2Warehouse execution
3Transport plan
4Delivery evidence
5Reconciliation and control

In the first scoping

  • One representative flow and its useful variants
  • Authoritative events and minimum data
  • Roles, decisions and escalation times
  • Acceptance criteria and baseline measurement

To sequence in waves

  • Additional sites, activities or populations
  • Rare variants that do not condition the pilot
  • Automations whose rule is not yet stable
  • Advanced dashboards after source reliability

To decide explicitly

  • Define the authoritative event at each stage
  • Select representative pilot flows
  • Assign each exception to a role and deadline
  • Separate the common core from customer or site variants
04 · Roadmap

From direction to measured improvement

  1. 1Navigator
  2. 2Personalised review
  3. 3Scoping workshop
  4. 4Wave-based deployment
  5. 5KPI measurement

Each stage produces a decision or evidence reusable in the next. Deployment remains business-led and verifiable.

05 · Metrics

Measure to decide, not to fill a dashboard

Every KPI needs a definition, a source, a cadence and an associated decision.

KPIFormulaSourceDecision
OTIFOn-time, in-full deliveries ÷ total deliveriesOrders, shipments and proof of deliveryPrioritise the causes that weaken the customer promise
Transport cost per unitConsolidated transport costs ÷ units deliveredServices, kilometres, charges and invoicingArbitrate transport plan, utilisation and providers
Order cycle timeAvailability time − validation timeOrder, allocation, picking and shippingIdentify the link slowing the promise
Complete delivery evidenceDeliveries with usable evidence ÷ closed deliveriesPOD, statuses, reservations and documentsReduce disputes and accelerate closure
06 · Business scenario

From fragmented status to a shared event chain

Situation
A multi-site network tracks orders, fulfilment and transport in separate systems. The promised date means different things to sales, warehouse and transport.
Approach
Scoping starts with one priority flow, defines authoritative events, ownership and evidence, then deploys interfaces and dashboards in waves.
Target outcome
Teams gain a common operational language and can handle exceptions from shared facts.
This scenario illustrates a scoping method. Outcomes must be established with data from the selected scope.
07 · Frequently asked questions

Useful answers before the first discussion

01Where should we start in practical terms?

Choose a representative scope spanning “Service promise” and “Warehouse execution”, then document one normal case and one frequent exception. The first flow should be important enough to matter but contained enough to observe end to end.

02Do all existing systems need replacing?

No. Scoping starts with decisions, authoritative events and ownership. It then determines what should be retained, integrated, replaced or simply better governed, wave by wave.

03What data should be prepared before a workshop?

Prepare a few real cases, the volumes shaping the operation, the main variance reasons and the sources used to measure OTIF. The quality of examples matters more than the quantity of documents.

04How should the right pilot scope be chosen?

Choose a scope with an available owner, accessible data, a meaningful exception and a measurable outcome. Avoid both an overly simple case that proves nothing and an overly broad scope that dilutes learning.

05How can scope changes during the project be limited?

Make assumptions, interfaces, variants, exceptions and acceptance criteria explicit. Every new request can then be classified: essential to the wave, suitable for a later wave, or outside the objective. Discussion focuses on impact rather than intuition.

Next step

Turn this guide into a personalised review

Complete Navigator to position your context, then use the review as the starting point for a scoping workshop.

  1. 1Navigator
  2. 2Personalised review
  3. 3Scoping workshop
  4. 4Wave-based deployment
  5. 5KPI measurement
NavigatorPlan a discussion with an expert