E-commerce manager guide

Align e-commerce conversion, promise and execution

Build a journey that remains coherent from traffic through delivery, return and customer service.

For: E-commerce, acquisition, digital product, supply chain, customer service and IT managers
01 · Short answer

What to clarify before discussing a solution

The signal

Digital teams optimise the site while operations absorb inventory, lead-time and return variance.

The answer

Which promise genuinely improves conversion without creating cancellations or operating rework?

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

An e-commerce roadmap connected to inventory, fulfilment, transport and service capabilities.

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

Connect digital and operating metrics

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

02

Define promise rules by inventory and area

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

03

Test payment failure, cancellation and substitution

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

04

Design returns as a complete journey

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.

1Acquisition and intent
2Availability and promise
3Conversion and payment
4Fulfilment and delivery
5Returns and retention

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

  • Connect digital and operating metrics
  • Define promise rules by inventory and area
  • Test payment failure, cancellation and substitution
  • Design returns as a complete journey
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
Conversion rateTransactions or orders ÷ visits or opportunitiesChannels, opportunities, baskets and ordersTarget breaks in the buying journey
Order cycle timeAvailability time − validation timeOrder, allocation, picking and shippingIdentify the link slowing the promise
Stockout rateUnfulfilled demand ÷ total demandDemand, availability and allocationsReview allocation, thresholds and replenishment
Return rateReturned units ÷ delivered unitsOrders, returns, reasons and qualityReduce avoidable causes by product and channel
06 · Business scenario

Conversion measured through delivered service

Situation
Conversion improves while cancellations and service contacts increase.
Approach
The pilot connects web, order, availability, fulfilment, delivery and return events in one view.
Target outcome
Digital optimisation incorporates its effect on promise and operating cost.
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 “Acquisition and intent” and “Availability and promise”, 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 Conversion rate. 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