E-commerce & Logistics

OMS for faster fulfilment and stronger operational control

Imker.pl

Imker supports creator and self-publishing sales, combining physical and digital products in one process. We designed an OMS that connects orders, warehouse operations, shipping and digital access at high operational scale.

We structured the whole solution so operations, integrations and reporting behave like one system instead of a set of disconnected tools.

Challenge

A system that could no longer keep up with growth

The business outgrew its current processes and architecture. The solution had to scale without constant manual intervention.

01

Handling physical and digital products in parallel required one consistent flow

02

There was no central view of order statuses, inventory states and operational exceptions

03

Growing fulfilment scale required automation and predictable process control

Solution

Architecture and delivery built for real operational pressure

We designed the solution so every critical stage could be isolated, automated and iterated without blocking the whole system.

01

OMS platform for the full order lifecycle: from sale to shipment and digital access

02

Integrations and automations for payments, warehouse, WMS, couriers and exception handling

03

Process prepared for Imker scale (including thousands of shipments daily and tens of thousands monthly)

04

Operational KPI dashboard: order lead time, error rate and exception handling time

05

Higher fulfilment quality and predictable execution at growing volume

Business outcome: Thousands of orders processed automatically daily, zero manual work on labels

Delivery process

From diagnosis to stable rollout

This case study shows a staged delivery model with clear ownership and a predictable cadence.

01
Phase 01

Discovery and process mapping

We mapped risks, dependencies and the bottlenecks that limited scale.

02
Phase 02

Architecture and system core

We structured the data model, integrations and critical operational flows.

03
Phase 03

User-facing layers

We aligned the interface and workflows with the real users of the system.

04
Phase 04

Stabilization and growth

Automation, monitoring and iterative improvement without disrupting operations.

Technologies

Stack selected for the scale of the problem

The stack was driven by operational, integration and product delivery constraints.

Backend
PythonDjangoFlaskPostgreSQL
Frontend
RedisRabbitMQDockerCI/CD
Integrations and automation
KubernetesOpenShift

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OMS for faster fulfilment and stronger operational control | Software Logic