Case study 🗂️    8 min read

oms imker.pl

We developed a robust OMS (Order Management System) for imker.pl, integrating over 20 platforms, connecting more than 300 online stores, and ensuring high system availability for efficient order processing.
OMS imker.pl
2Years in development
3Team members
10,000+Orders a day
100%Client satisfaction

Problem to solve

Scalability and Integration: Imker.pl needed a scalable OMS system that could integrate with over 300 stores, synchronize orders every 10 minutes, and maintain high availability to ensure seamless e-commerce operations.

Efficient Order Processing: The platform required an optimized solution to handle growing volumes of orders efficiently while minimizing delays and errors.

Scope of work

Development

We developed a scalable OMS platform with over 20 integrations, connecting 300+ online stores to streamline order processing.

Optimization

We optimized the system to synchronize orders every 10 minutes, ensuring real-time updates and reducing processing delays.

Availability

We ensured high system availability (99.9%) to handle large volumes of orders and provide reliable, uninterrupted service.

Outcomes

The OMS system we developed for imker.pl enables seamless order management from over 300 connected stores, with orders synchronized every 10 minutes. The system's high availability and integration with over 20 platforms have drastically improved operational efficiency and order processing accuracy.

starstarstarstarstar

We have been working with softwarelogic.co for over two years, enhancing our fulfillment operations with a robust Order Management System. Their expertise in both technology and business has made the collaboration very effective.

Krzysztof Bartnik
CEO, imker.pl

Conclusion

The OMS system we built for imker.pl has revolutionized their order management process, integrating over 300 stores, handling frequent order synchronizations, and providing near-perfect system availability. This solution has significantly enhanced their e-commerce operations, enabling them to scale efficiently and meet growing customer demand.

Technologies used

We applied our expertise in the following technologies:

Python3
Django
Flask
PostgreSQL
Redis
RabbitMQ
MongoDB
JavaScript
Bootstrap 5
Docker
Kubernetes
OpenShift
Proxmox VE

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