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Case study 05

Logistics Control Tower

Real-time visibility across 1,200 daily deliveries and six carriers.

Client

Trelo Logistics

Industry

Logistics

Platform

Web Platform

Services

Web Application Development, AI Solutions

Timeline

20 weeks

Next.js · Go · Kafka

01 / Challenge

Operations ran on spreadsheets and carrier portals. Nobody could answer where a shipment was without three phone calls.

02 / Our approach

A single operational surface fed by carrier feeds, with predictive delay alerts and exception-first workflows.

03 / UX / UI

Density over decoration: a control-room interface built for operators watching it eight hours a day.

04 / Technology architecture

Kafka ingests carrier events, a Go service normalises them into one shipment model, and the Next.js console streams updates over websockets.

05 / Development

Shipped carrier by carrier so operations gained value before the full integration was complete.

Key features

What We Shipped.

    01Unified multi-carrier shipment timeline
    02Predictive delay alerting
    03Exception queues with assignment
    04Customer-facing tracking links
    05Operational analytics

Results

Business Impact.

1,200

Daily shipments tracked

-64%

Status enquiry calls

6

Carriers unified

12s

Event-to-screen latency

Technology stack

Next.jsGoKafkaWeb Application DevelopmentAI SolutionsSaaS Development

Gallery

Inside The Product.

LOGISTICS CONTROL TOWER / 01
LOGISTICS CONTROL TOWER / 02
LOGISTICS CONTROL TOWER / 03

Client testimonial

Our operations floor went quiet. That is the highest compliment I can give a piece of software.

Ivan PetrovDirector of OperationsTrelo LogisticsNetherlands

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