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A management system for a 24,000 m² warehouse

Receiving, put-away and wave picking with barcode scanners, and a portal for the warehouse’s clients.

Client
A 3PL warehouse operator
Industry
Logistics and warehousing
Went live
September 2025
Duration
10 months
Team
11 people
A worker by shelves, pallets and a forklift in a warehouse

What was there

The warehouse stored goods for more than 30 clients and picked from paper lists. Returning wrongly picked orders cost about ₼18,000 a month, and each new client meant another person on every shift.

What we built

  • A warehouse management system on Java and Kafka
  • An app for Android scanners: receiving, put-away, picking, stock counts
  • Wave planning for picking
  • A portal for the warehouse’s clients: stock, orders, invoices
  • Deployment on Kubernetes and support under a 24/7 SLA

Results

  • 1.9% → 0.3%

    wrongly picked orders

    2025

  • 1,150 → 1,700

    orders shipped per shift

    with the same staff

  • 11 people

    dedicated team, 10 months

    2024–⁠2025

The client’s words
We now bring a new client on in a week. It used to take a month.

CEO of the warehouse operator, a 3PL warehouse operator

Technologies

  • Java, Spring Boot
  • React
  • PostgreSQL
  • Apache Kafka
  • Kubernetes

Services

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