M Melditechnologies
Delivered Aug 2026
● Case Study // Logistics starFeatured project

Logistics Tracking App

Mobile app for live shipment tracking and driver dispatch.

Sector Logistics Industry
Client Confidential Under NDA
Completed Aug 2026 Launch date
Core stack Flutter • Node.js • PostgreSQL Engineered by Meldi
Live site Private deployment In production
Delivery rocket_launch
8–12 wks
Kick-off to launch

Fixed-scope sprints with a live staging preview every two weeks.

Stability hub
99.9%
Production uptime

Monitored infrastructure with automated backups and alerting.

Efficiency speed
-60%
Manual admin work

Repetitive tasks replaced with automated, auditable workflows.

Quality military_tech
A+
Performance & security

Lighthouse-tuned front end and OWASP-aligned security practices.

Product showcase

Inside the Logistics Tracking App build

Flutter • Node.js • PostgreSQL
logistics-tracking-app.app
Logistics Tracking App
Section 01//The challenge

What the client was up against

The client needed a reliable, scalable system to replace manual, error-prone processes. [Placeholder — replace with the real brief.]

The core dilemma

The risky alternative

Patching together off-the-shelf tools and spreadsheets — fragile, hard to scale and impossible to report on reliably.

The Meldi approach

A purpose-built platform designed around the client's real workflows, with clean integrations and room to grow.

Section 02//Our solution

How we engineered it

We designed and built a custom solution with a clean admin, automated workflows and clear reporting. [Placeholder.]
logistics-tracking-app/stack.json
Tech stack
// Production stack for Logistics Tracking App
{
  "project": "logistics-tracking-app",
  "sector": "Logistics",
  "stack": [
    "Flutter",
    "Node.js",
    "PostgreSQL"
  ],
  "status": "shipped"
}
Section 03//The outcome

What changed after launch

Faster operations and a better customer experience. [Placeholder — add real, verified outcomes only.]
Section 04//Before & after

Transformation matrix

Dimension Before After Meldi Impact
Day-to-day operations Manual, spreadsheet-driven Automated workflows & dashboards Hours saved weekly
Data visibility Scattered across tools Single source of truth Real-time reporting
Customer experience Slow, inconsistent responses Self-service & instant updates Higher satisfaction
Scalability Hard to extend or integrate Modular, API-first architecture Ready for growth
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