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Logistics & Supply Chain MoveRight Logistics (India) India 7 months

Custom TMS and Fleet Management Platform for Mid-Size Logistics Operator

MoveRight operated a 350-truck fleet across 12 states using a combination of WhatsApp for dispatch, Excel for route planning, and a 10-year-old DOS-based billing system.

28%
Fuel cost reduction
94% (from 71%)
On-time delivery rate
4 hrs (from 5 days)
Invoicing cycle time
42% reduction
Operations headcount
3.5x improvement
Dispatch efficiency
87% (from 64%)
Fleet utilisation

The Challenge

MoveRight operated a 350-truck fleet across 12 states using a combination of WhatsApp for dispatch, Excel for route planning, and a 10-year-old DOS-based billing system. Fuel costs were untracked, driver performance was invisible, and invoicing took 5 days per cycle — delaying cash collection by 3 weeks on average.

Our Solution

Canny built a unified Transport Management System combining GPS-integrated fleet tracking, AI-powered route optimisation, digital dispatch, driver performance scoring, and automated billing. The system replaced 4 legacy tools and reduced the operations team from 12 to 7 people while handling 40% more shipment volume.

Technical Architecture

Node.js microservices on AWS ECS

PostgreSQL for transactional data, TimescaleDB for GPS telemetry

Kafka for real-time GPS event streaming (1M+ events/day)

React admin dashboard + React Native driver app (iOS/Android)

Google Maps Platform API for route optimisation and geocoding

Twilio for driver SMS notifications and two-way communication

Technologies Used

Node.jsTypeScriptReactReact NativePostgreSQLTimescaleDBApache KafkaAWS ECSGoogle Maps APITwilio

Project Timeline

1

Discovery and Architecture

4 weeks
  • Ride-alongs with dispatch team to document current process
  • GPS device evaluation and vendor selection (Teltonika)
  • Database schema design for GPS telemetry at scale
  • API design for driver app and admin dashboard
  • Kafka topic architecture for real-time event stream
2

Core TMS and GPS Integration

10 weeks
  • GPS device data ingestion pipeline (MQTT → Kafka → TimescaleDB)
  • Live fleet map with vehicle positions, speed, and status
  • Trip creation, driver assignment, and route management
  • Proof of delivery (photo + GPS coordinate + timestamp)
  • Basic billing module replacing DOS system
3

Route Optimisation and Driver App

8 weeks
  • Google Maps Distance Matrix API integration for multi-stop optimisation
  • React Native driver app with offline capability and navigation
  • Driver performance scoring (harsh braking, speeding, idle time)
  • Automated fuel reconciliation against GPS distance
  • Maintenance scheduling based on mileage triggers
4

Analytics and Handover

6 weeks
  • Executive dashboard: fleet utilisation, on-time performance, fuel KPIs
  • Customer portal for real-time shipment tracking
  • Integration with existing accounting software (Tally)
  • Team training across 3 depot locations
  • 4-week hypercare support post-go-live

We went from managing a fleet on WhatsApp and Excel to having a real-time command centre. The route optimisation alone saved us ₹1.2 crore in fuel in the first year. The driver app reduced our dispatch team's call volume by 70%.

Vikram Joshi, COO — MoveRight Logistics

Long-Term Impact & ROI

MoveRight reduced operating costs by ₹2.4 crore in year one and onboarded 3 enterprise clients who required digital proof-of-delivery and real-time tracking visibility — business they could not have won before the platform was built.

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