LogisticsDuration: 6 monthsTeam size: 5 engineers

Real-time transit tracker linking driver telemetry directly to a fleet dispatch console.

Regional transport provider, Mumbai• Custom production development project.

60%Less manual dispatch work
380%Project ROI (1st Year)
₹55LAnnual Savings
Performance Metrics

Before & After Impact

A side-by-side comparison of key operational indicators measured during our initial audit vs. 90 days post-deployment.

Financial Return
₹55L Annual Savings
Measured payback period: 4 months
Manual Route Planning Time
Before:4 Hours/day
After:10 Mins/day
IMPROVED
Dispatch Invoicing Mismatch
Before:8.4% Rate
After:0.05% Rate
IMPROVED
Average Invoicing Cycle
Before:30 Days
After:Instant
IMPROVED
The Challenge

What They Were Facing

A breakdown of major operational friction points prior to our team's integration and custom build.

Operating a fleet across 3 states without real-time tracking left this logistics firm vulnerable to route mismatches and delays. We built an event-driven telemetry tracker using Kafka and Node.js that routes driver coordinates directly to dispatcher dashboards, removing manual dispatch checks.

  • !Dispatch teams spent 4 hours daily manually coordinating truck routes.
  • !No live GPS telemetry from drivers on the road.
  • !Slow billing pipeline due to paper-based delivery logs.

We had zero visibility on our daily logs, and errors were cropping up in invoicing sheets regularly. We had to fix it before expanding our footprint.

— Stakeholder Review Meeting
Our Approach

How We Solved It

We mapped database schemas, engineered APIs in modules, and launched pilot releases to assure stable rollouts.

Phase 01

Chose Apache Kafka to build a real-time tracking event stream.

STAGE: COMPLETED
Phase 02

Designed a clean map interface for dispatchers and a simple app for drivers.

STAGE: COMPLETED
Phase 03

Built and integrated dispatch dashboards with automated invoicing systems.

STAGE: COMPLETED
Phase 04

Ran stress testing to verify telemetry throughput under load.

STAGE: COMPLETED
Solution Built

What We Delivered

A multi-platform enterprise infrastructure engineered for stability, speed, and clean code paths.

Secure API Gateway

Centralized OAuth2 gateway

Optimized DB Caching

Redis layer for repeat logs

Dynamic UI Client

Highly responsive web app

Real-Time Sync Engine

Auto-streams sensor metrics

Automatic Audit Logs

Tracks database modifications

Compliance Sandboxes

Sandboxed compliance testing

System Architecture Block Diagram
CLIENT APPLICATION (Web / Mobile)
↓ REST / WebSockets
API GATEWAYOAuth 2.0
↓ JSON Streams
Sync Handler
Redis Cache
↓ SQL Commits
PRIMARY DATABASE (PostgreSQL / Replica)
Results

The Outcome

Measurable metrics logged post-release that directly resolved client operational overhead.

Eliminated route allocation mismatches completely.

Reduced manual administrative dispatch work by 60%.

Telemetry updates delivered in under 5 seconds from the road.

Enabled automated invoicing immediately upon delivery.

Verified Testimonial
When our launch date was moved up by 6 weeks, Adytech didn't complain. They adjusted the sprint plan and delivered a stable tracking system without cutting corners.
Am
Amit AgarwalIT Director, Logistics Provider, Mumbai
Stack

Technologies Applied

Flutter
Node.js
Apache Kafka
PostgreSQL
AWS
More Work

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Logistics Case Study: Regional transport provider, Mumbai | Adytech Solutions