Madar Logistics Platform

About project

We developed Madar as a scalable, event-driven logistics ecosystem that replaces fragmented transport processes with one operational platform. The solution coordinates shipments, fleets, drivers, IoT telemetry, compliance documents, financial workflows, and high-volume analytics while integrating with the client’s existing ERP, TMS, payment, mapping, AVL, and sensor infrastructure.

Nest.js microservices, Apache Kafka, MQTT, WebSockets, PostgreSQL, TimescaleDB, Redis, Databricks, and AWS provide the performance, reliability, and scalability required for real-time logistics operations.

Duration

8 months

Technologies

A scalable real-time logistics stack for web, mobile, telemetry, analytics, and cloud operations.

Business solutions

The client needed to replace fragmented logistics processes with a scalable real-time platform capable of coordinating shipments, fleets, drivers, IoT telemetry, transport documentation, financial workflows, and high-volume operational data. The solution also had to support multiple organizations, regulatory integrations, secure data exchange, and mobile driver operations without disrupting existing enterprise infrastructure.

Implemented solutions

Real-time truck tracking with geofencing, dynamic ETAs, route history, deviation alerts, stops, and idle-time monitoring.
MQTT and WebSocket telemetry for GPS, speed, temperature, humidity, weight, and freight-condition measurements.
Automated shipment planning, smart assignment, route optimization, multi-order scheduling, and backhaul matching.
React Native driver workflows with assignments, route instructions, delivery confirmations, and OTP signatures.
B2B transport marketplace, carrier offers, shipment auctions, dynamic pricing, and fleet-management tools.
Digital waybills, proof of delivery, invoicing, payment release, and eGovernment verification.
Kafka, TimescaleDB, Databricks, and Apache ECharts analytics for operational and management KPIs.
Secure multi-tenant AWS deployment with automated testing, monitoring, and CI/CD.

Roadmap

Month 1

Discovery and Architecture

Requirements, logistics workflows, integration mapping, multi-tenant architecture, security model, and delivery plan.

Month 2

UX/UI and Platform Foundation

Design system, responsive web foundation, mobile architecture, core data models, authentication, and tenant permissions.

Months 3–4

Core Logistics Operations

Shipment management, smart assignments, route optimization, scheduling, fleet management, and driver workflows.

Month 5

Live Tracking, IoT, and Driver App

Mapbox tracking, MQTT telemetry, WebSocket updates, ETA and deviation alerts, geofencing, and delivery confirmation.

Month 6

Marketplace, Compliance, and Finance

Carrier bidding, dynamic pricing, eGovernment verification, digital documents, invoicing, and payment workflows.

Month 7

Data Platform and Analytics

Kafka pipelines, TimescaleDB, Databricks processing, KPI datasets, control-tower dashboards, alerts, and exports.

Month 8

QA, Security, and Production Launch

Integration and load testing, security validation, performance optimization, monitoring, CI/CD, deployment, and launch.

Launch

Launch Support and Optimization

Production monitoring, operational handover, performance tuning, and post-launch support.

Main Functionality

Real-Time Freight Tracking and IoT Monitoring

We implemented live truck tracking with Mapbox GL JS, including geofencing, route history, dynamic ETAs, deviation alerts, stop detection, and idle-time monitoring. MQTT and WebSockets deliver continuous GPS and AVL updates alongside temperature, humidity, weight, speed, and other freight-condition measurements.

Automated Shipment Planning and Route Execution

We developed automated shipment planning, smart truck assignment, multi-order routing, pickup and drop-off scheduling, and backhaul matching. The platform evaluates vehicle type, capacity, location, availability, pricing, delivery windows, and compliance status to reduce empty mileage and waiting time.

Route Optimization and Multi-Order Scheduling

We developed route optimization, pickup and drop-off scheduling, multi-order planning, and backhaul matching to reduce empty trips and vehicle waiting time. The platform evaluates route constraints, delivery windows, vehicle capacity, pricing, and compliance status in real time.

Transport Marketplace and Fleet Operations

We created a B2B transport marketplace with carrier offers, shipment auctions, dynamic pricing, and automated freight-to-truck matching. Fleet-management tools connect drivers and vehicles, track availability, schedule maintenance, record repair costs, monitor compliance, and evaluate operational performance.

Driver Mobile Operations

We built the React Native and Expo driver application for receiving assignments, following route instructions, updating shipment status, confirming deliveries, and completing OTP-based electronic signatures. The mobile workflow connects drivers directly to dispatch, proof-of-delivery, and payment-release processes.

Logistics Control Tower and Advanced Analytics

We developed operational and management dashboards with Apache ECharts, TimescaleDB, and Databricks. The analytics layer consolidates shipment events, GPS telemetry, IoT readings, carrier offers, invoices, and fleet data into KPIs for route efficiency, empty-mile reduction, fleet utilization, delays, carrier performance, fuel consumption, cost per shipment, and SLA compliance.

Contact Us

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