WMS readiness: preparing to select and implement a WMS

We help choose a WMS without blind box-by-box comparison: we map warehouse processes, data, integrations, KPI, the pilot, and the implementation roadmap.

Our clients

Clients and partners

FM Logistic
WMS readiness: preparing to select and implement a WMS
Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
Danone
Relief Center
Pandora
WMS readiness: preparing to select and implement a WMS
Saint-Gobain
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
RAEC
EKF
L'Etoile
Inventive Retail Group

WMS-readiness

Process and data first, then WMS selection

If you start by requesting quotes from WMS vendors, the choice often comes down to price, demos, and feature lists. We start earlier: we define how the warehouse flow must really work, which data must be reliable, and where the system must connect with 1C, ERP, TMS, BI, equipment, and customer channels.

Diagnose the workflow

We review receiving, putaway, storage, picking, shipping, inventory counting, returns, transfers, transport statuses, and exceptions.

Check the data

We review item master data, units of measure, batches, serial numbers, locations, stock, barcodes, reservation rules, and exchange quality.

Compare scenarios

We evaluate the WMS not by a universal feature matrix, but by real working scenarios: what must happen to the order, item, task, and status.

Plan the pilot

We choose the launch area, KPI, acceptance criteria, integrations, risks, TCO, and a scaling roadmap to the production environment.

Why WMS implementation should not start with choosing a package

WMS changes the warehouse operating model. If processes, data, and integrations are not prepared, the new system may simply move old gaps into a more expensive interface.

What KT.Team does

What business gets before choosing a WMS

An AS-IS/TO-BE map of warehouse processes and a list of areas where automation will have impact.
Requirements for the WMS, integrations, equipment, roles, data, reporting, and support.
Scenarios for comparing vendors: receiving, putaway, picking, shipping, inventory counting, returns, and exceptions.
Pilot plan: launch area, KPI, success criteria, risks, owners, and work sequence.
We estimate TCO: licenses, implementation, integrations, equipment, support, training, and enhancements.
A scaling roadmap: from a pilot scope to a unified warehouse and logistics architecture.

Approach

How WMS Readiness Works

Usually a short assessment is enough to move from the idea that “we need a WMS” to a managed plan for selection, pilot, and implementation.

01. Interviews and Observation

We define roles, operations, exceptions, documents, equipment, error sources, and business expectations.

02. Process and Data Model

We define the TO-BE flow, statuses, reference data, events, integrations, and system responsibilities.

03. Selection Scenarios

We prepare working scenarios for WMS vendors and evaluation criteria: not whether a feature exists, but whether the process works.

04. Pilot and Roadmap

We choose the pilot area, KPI, acceptance criteria, scope of work, risks, and scaling sequence.

workflowDataintegrationsWMS scenariospilotScaling

KT.Team case studies

Relevant cases: warehouse, logistics, orders, 1C, and integrations

Logistics cases

This section brings together projects that are closest to a WMS task in operational logic: inventory counting, WMS/LMS integrations, labeling, transport requests, B2B orders, reservations, delivery, and scalable exchanges with 1C.

KT.Team experience

Case Studies: WMS Preparation

Read all

Before selecting a system, data and processes often need to be put in order. Below are projects where that was the core of the work.

FAQ

FAQ on Preparing for a WMS

Why can't you just request quotes from WMS vendors?

Because then the choice gets reduced to price, a demo, and a feature list. We start earlier: we define how the warehouse flow must really work, which data must be reliable, and where the system must connect with 1C, ERP, TMS, BI, equipment, and customer channels. Without this, the new system simply moves old gaps into a more expensive interface.

What is checked in the data?

Item master, units of measure, batches, serial numbers, bins, stock, barcodes, reservation rules, and the quality of current data exchanges. A typical problem is when warehousing, sales, procurement, transport, and accounting use different statuses and interpret stock, reserved quantity, and product availability differently.

How do you compare vendors when they all seem to have everything?

Based on real operating scenarios, not a universal feature matrix: what should happen to the order, product, task, and status. We prepare comparison scenarios in advance - receiving, putaway, picking, shipping, inventory, returns, and exceptions - and evaluate not feature availability, but how well the process works end to end.

What does the business get in the end?

An AS-IS/TO-BE map of warehouse processes with areas where automation will deliver value; requirements for the WMS, integrations, hardware, roles, data, reporting, and support; scenarios for vendor comparison; a pilot plan with launch scope, KPI, success criteria, risks, and owners; a TCO estimate covering licenses, implementation, integrations, equipment, training, and enhancements; and a scaling roadmap.

Why does a pilot often prove nothing?

Because it is launched in a convenient area with no real exceptions. You need to test mispicks, returns, urgent shipments, inter-warehouse transfers, and data errors, and measure the impact: stock accuracy, picking speed, inventory time, shipping SLA, staff workload, and operating cost.

How long does it take?

Usually, a short assessment is enough to move from the idea of "we need a WMS" to a managed plan for selection, pilot, and implementation. The work follows four steps: interviews and on-site observation in the warehouse, a process and data model, preparation of selection scenarios, and a pilot plan with a roadmap.

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