• Category:
    Logistics
  • Stack:
    .NET Core, React, PostgreSQL, SignalR, Docker, Azure
  • Date:
    25 April, 2024

The Challenge

Nietzsche, a logistics automation company, needed a central control interface to track package flow, identify station-level issues, and manage outbound truck schedules in real-time.

Our Solution

We built a modern dashboard with live metrics, exception handling, and package-level tracking, fully integrated with bots and warehouse sensors:

  • Live tracking of station activity, throughput, and exceptions
  • Outbound progress bar with estimated truck departure times
  • Exception alerting (e.g., low battery, processing errors)
  • Package-level search and metadata filtering

Results & Impact

  • Improved outbound throughput visibility across 5+ stations
  • Reduced dispatch delay incidents by 35% within first month
  • Enabled early warning alerts for 80% of processing failures
  • Operators report 50% fewer manual check-ins via real-time sync