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Logistics

Real-Time Visibility Across Every Shipment.

Logistics runs on timely information. We build the integrations, data pipelines, mobile tools and AI that help operations teams see, predict and act.

Common technical challenges

What logistics teams tell us.

  1. 01

    Limited visibility

    Shipment status is scattered across carriers, warehouses and partners.

  2. 02

    Partner integration

    Every carrier and customer has different data formats and APIs.

  3. 03

    Field operations

    Drivers and warehouse staff need reliable tools, often offline.

  4. 04

    Demand volatility

    Planning must adapt to changing volumes and disruptions.

Example engagement scenarios

What an engagement could look like.

These are illustrative scenarios describing how our services can be applied. They are not case studies or descriptions of past client projects.

Recommended technologies

  • Apache Kafka
  • Flutter
  • Kotlin
  • Google Maps Platform
  • BigQuery
  • PostgreSQL
  • AWS
  • Python
  1. Illustrative scenario 01

    Shipment visibility platform

    Integrating carrier APIs and EDI feeds into a single tracking view for customers.

  2. Illustrative scenario 02

    Proof-of-delivery app

    An offline-capable driver app capturing signatures, photos and timestamps.

  3. Illustrative scenario 03

    Volume forecasting

    Machine learning forecasts to support staffing and capacity planning.

FAQs

Questions from the sector.

Yes. We build integration layers for APIs, EDI and file-based exchanges with monitoring and error handling.

Yes. We design offline-first data synchronisation for field and warehouse environments with unreliable connectivity.

Building for logistics?

Tell us about your goals and constraints, and we'll recommend a practical engineering approach.