PROTECH WMS solution

Choose a WMS: the decisions to make before the demonstration

Qualify flows, volumes, constraints, inventory rules, picking methods, equipment and interfaces that will make the difference.

For: Logistics, warehouse, supply chain, operations, e-commerce and IT leaders
01 · Short answer

What to clarify before discussing a solution

The signal

Inventory is disputed, priorities change manually and operator experience compensates for system limitations.

The answer

Which representative scenario will verify the WMS can handle your actual rules and exceptions?

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

A flow-, test- and evidence-oriented WMS decision pack, usable to compare, pilot and prepare 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 logistics units and inventory statuses

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

02

Choose allocation and priority rules

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

03

Build an acceptance scenario from dock to shipping

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

04

Size mobility, printing and continuity

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.

1Receiving and control
2Put-away and location management
3Allocation and picking
4Shipping and evidence
5Inventory 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 logistics units and inventory statuses
  • Choose allocation and priority rules
  • Build an acceptance scenario from dock to shipping
  • Size mobility, printing and continuity
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
Inventory accuracyItems without variance ÷ items checkedSystem inventory, counts and movementsCorrect the flows that create variances
Dock-to-stock timeAvailability time − arrival timeAppointments, receiving, checks and put-awayRemove receiving bottlenecks and improve priorities
Picking productivityOrder lines picked ÷ productive hoursTasks, time, zones and operatorsReview methods, travel and workload by zone
Order cycle timeAvailability time − validation timeOrder, allocation, picking and shippingIdentify the link slowing the promise
06 · Business scenario

Acceptance designed before configuration

Situation
A warehouse serves several channels with different units, checks and priorities. The need is often summarised as ‘having accurate inventory’.
Approach
The guide turns flows into end-to-end scenarios, specifies data, actors, exceptions and evidence, then uses them for demonstration and acceptance.
Target outcome
Comparison focuses on the ability to execute real operations rather than the number of advertised features.
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 “Receiving and control” and “Put-away and location management”, 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 Inventory accuracy. 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
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