📊 Logistics & Supply Chain Case Study

Enterprise GPS Fleet Telematics &
Supply Chain Management ERP System

Client: LogixFleet India
Timeline: 12 Weeks
Core Tech: React, Node.js, Python, TimescaleDB, WebSockets, Docker

LogixFleet needed a centralized dispatch ERP and IoT GPS telematics platform to track 1,200+ commercial trucks, prevent fuel theft, calculate optimal toll routes, and automate consignment billing across 14 Indian states.

LogixFleet India Production App
LogixFleet India Case Study Screenshot
1,200+
Active Freight Trucks Tracked
38%
Fuel & Operations Cost Savings
99.4%
On-Time Consignment Delivery
₹4.2L
Saved Annually vs Legacy SaaS

Executive Summary & Engagement Scope

Managing a fleet of 1,200+ heavy commercial freight trucks across 14 states using phone calls and spreadsheets was costing LogixFleet over ₹80 Lakhs annually in diesel theft, unauthorized route deviations, and delayed billing. Proof-of-delivery (POD) documents took 15 days to physically reach headquarters, crippling cash flow. CodeCurious engineered an IoT GPS telematics platform connected to universal OBD-II and ultrasonic fuel sensors. The platform tracks 1,200 trucks with sub-3-second latency, cut fuel theft by 38%, and automated invoice generation upon mobile POD upload.

🚨 The Challenge

Operational Bottlenecks & Technical Debt

Lack of real-time vehicle visibility resulted in rampant fuel siphoning, route delays, and prolonged payment collection cycles.

  • Dispatchers had zero real-time visibility into vehicle coordinates, idling times, or unauthorized midnight stops.
  • Diesel siphoning and fuel theft along highway routes cost the company over ₹65 Lakhs in unaccounted operational losses.
  • Paper proof-of-delivery (POD) documents took 15–20 days to reach headquarters, delaying billing by nearly a month.
  • Off-the-shelf SaaS telematics tools charged exorbitant monthly recurring per-truck fees with inflexible APIs.
💡 The CodeCurious Solution

Full-Cycle Architectural Modernization

CodeCurious engineered a bespoke IoT GPS telematics ingestion engine, interactive Mapbox dispatch console, and driver mobile companion app.

  • Engineered an ingestion pipeline decoding binary GPS protocols (Coban, Concox, Teltonika) updating vehicle locations every 3 seconds via WebSockets.
  • Integrated ultrasonic fuel sensor algorithms detecting sudden fuel level drops and alerting dispatchers instantly.
  • Built a driver mobile application capturing digital signatures and photographic PODs that trigger instant automated GST invoices.
  • Implemented AI route optimization algorithms avoiding congested toll corridors and reducing transit delays.
🏗️ System Design

System Architecture & Data Pipeline Blueprint

A breakdown of the underlying data pipeline, microservices orchestration, and edge caching topology deployed for LogixFleet India.

High-Throughput IoT Ingestion Gateway

TCP/UDP socket servers written in Go and Node.js capable of ingesting 50,000 telemetry packets per second.

TimescaleDB Time-Series Data Layer

Optimized PostgreSQL hypertable partitioning storing 500 million vehicle coordinates with sub-50ms query latency.

Interactive Mapbox GL Dispatch Center

GPU-accelerated vector map rendering 1,200 moving vehicles simultaneously with smooth 60fps interpolation.

Offline-Resilient Driver Sync

Mobile app that stores GPS coordinates and camera photo PODs locally in highway dead-zones and syncs upon cellular reconnection.

⚡ Key Capabilities

Core Engineering Highlights

A deep look at the custom microservices, automated workflows, and UI engineering delivered for LogixFleet India.

🚚

Sub-3-Second GPS Telematics

Live map tracking with speed telemetry, ignition status, and route replay histories.

Automated Fuel Sensor Monitoring

IoT ultrasonic sensor integrations alerting dispatchers instantly on fuel theft or excessive idling.

🗺️

AI Route Optimization Engine

Algorithms calculating the fastest, toll-optimized routes avoiding traffic and bad road segments.

📱

Driver Mobile Companion

Offline-capable mobile app for turn-by-turn navigation, toll expense logging, and digital POD sign-off.

📑

Automated E-Way Bill & Invoicing

Instant GST invoice generation upon digital POD approval, reducing payment collection cycles by 14 days.

🔧

Predictive Vehicle Maintenance

Odometer tracking triggering automated service reminders for oil changes, tires, and fitness certificates.

🚨

Automated Geofencing & Alerts

Instant WhatsApp and SMS alerts if trucks deviate from planned corridors or enter restricted zones.

📊

Fleet Profitability Analytics

Per-trip profit and loss (P&L) statements calculating driver allowances, toll expenses, and fuel consumption.

📈 Measurable Impact

Before vs. After CodeCurious Transformation

Quantifiable business, operational, and system performance gains delivered post-deployment.

Performance & Business Metric Before CodeCurious After CodeCurious Measured Impact
Fuel Theft Incidents 45+ Monthly Thefts Zero Unaccounted Drops ✓ 38% Diesel Savings
POD to Invoice Collection Time 18 Days (Paper POD) 4 Hours (Digital POD) ✓ 14 Days Faster Cashflow
On-Time Consignment Delivery 81.2% 99.4% ✓ +18.2% Reliability
Annual Software License Fees ₹14.4 Lakhs / Year ₹0 (100% Owned) ✓ ₹4.2L Annual ROI
🛠️ Technology Blueprint

Full-Stack Architectural Ecosystem & Framework Choices

Detailed technical rationale on why each framework, database, and cloud infrastructure component was selected for LogixFleet India.

Web Dashboard
React.jsMapbox GLTypeScriptTailwind CSS
Architectural Rationale: Mapbox GL allowed high-performance rendering of 1,200 concurrent vehicle coordinates on a single map.
Backend & Ingestion
Node.jsPython FastAPIWebSocketsMQTT IoT
Architectural Rationale: Python FastAPI powered fast mathematical calculations for fuel sensor curve calibration.
Databases & Time-Series
TimescaleDBPostgreSQLRedisAWS S3
Architectural Rationale: TimescaleDB provided 10x data compression on 500 million monthly GPS location rows.
Infrastructure
DockerKubernetesAWS EC2Terraform
Architectural Rationale: Containerized deployment eliminated vendor lock-in and cut third-party SaaS software fees to zero.
🔄 Delivery Roadmap

From Blueprint to Zero-Downtime Launch

How our agile sprint methodology guaranteed delivery on schedule and within budget.

01

IoT Hardware Protocol Reverse Engineering

Decoding binary GPS tracker protocols (Coban, Concox, Teltonika) for universal ingestion.

02

Time-Series Data Architecture

Configuring TimescaleDB to handle 500 million location points per month with sub-50ms query speeds.

03

Interactive Mapbox Dispatch UI

Building high-performance fleet map visualizers rendering 1,200 moving vehicles simultaneously.

04

Field Driver Testing & Deployment

Testing driver mobile app across highway dead-zones with automatic offline sync.

05

Enterprise Rollout & Telemetry Integration

Connecting GPS gateways and migrating 10 years of historical fleet logs.

06

Continuous Route Optimization Tuning

Refining fuel consumption algorithms to maximize fleet operational efficiency.

"We replaced 3 expensive third-party SaaS tools with our own custom CodeCurious ERP. In the first year alone, we reduced diesel theft and operational delays by 38%. The ROI was achieved in under 6 months."

AN
Anil Mukhopadhyay
Chief Operating Officer, LogixFleet India
Inquiries

Case Study FAQ

Specific details regarding implementation, scalability, and code ownership.

Can the system connect with existing GPS hardware installed in trucks?
Yes. Our ingestion engine supports universal TCP/UDP and MQTT protocols compatible with over 80+ standard GPS tracker brands.
What happens when a truck enters a highway dead-zone with no cellular reception?
GPS trackers buffer coordinates in local memory; once cellular connectivity is re-established, the tracker dumps the backlog and the ERP reconstructs the route accurately.
Can corporate clients track their individual consignments in real-time?
Yes. The system generates secure, time-expiring tracking links that allow consignees to track their specific cargo live on Google Maps.
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